Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties

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Publisher : Springer Nature
ISBN 13 : 3030407160
Total Pages : 119 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties by : Michail G. Michailidis

Download or read book Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties written by Michail G. Michailidis and published by Springer Nature. This book was released on 2020-02-21 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a comprehensive and mathematically rigorous controller design for families of nonlinear systems with time-varying parameters and unstructured uncertainties. Although the presented methodology is general, the specific family of systems considered is the latest, NextGen, unconventional fixed-wing unmanned aircraft with circulation control or morphing wings, or a combination of both. The approach considers various sources of model and parameter uncertainty, while the controller design depends not on a nominal plant model, but instead on a family of admissible plants. In contrast to existing controller designs that consider multiple models and multiple controllers, the proposed approach is based on the ‘one controller fits all models’ within the unstructured uncertainty interval. The book presents a modeling-based analysis and synthesis approach with additive uncertainty weighting functions for accurate realization of the candidate systems. This differs significantly from existing designs in that it is capable of handling time-varying characteristics. This research monograph is suitable for scientists, engineers, researchers and graduate students with a background in control system theory who are interested in complex engineering nonlinear systems.

Cyber-Physical Systems: Design and Application for Industry 4.0

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Publisher : Springer Nature
ISBN 13 : 3030660818
Total Pages : 440 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Cyber-Physical Systems: Design and Application for Industry 4.0 by : Alla G. Kravets

Download or read book Cyber-Physical Systems: Design and Application for Industry 4.0 written by Alla G. Kravets and published by Springer Nature. This book was released on 2021-03-25 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of chapters dedicated to the questions of cyber-physical system design and its usage for the chemical industry and new material design. Also, the contribution of the book covers scientific research and their results for cyber-physical systems design and application in the energy domain and solutions regarding engineering education for cyber-physical systems design. The book offers unique content for researchers and practitioners who are looking for new knowledge and skills in the framework of Industry 4.0 solutions. The book also benefits researchers and practitioners in chemistry and new material design and manufacturing to understand how cyber-physical systems can be applied to increase efficiency and performance. The target audience of the book are practitioners, enterprises representatives, scientists, Ph.D. and master students who perform scientific research or applications of cyber-physical systems in the concept of Industry 4.0.

Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle

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Publisher : Springer Nature
ISBN 13 : 3030810143
Total Pages : 263 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle by : Moussa Labbadi

Download or read book Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle written by Moussa Labbadi and published by Springer Nature. This book was released on 2021-09-14 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book studies selected advanced flight control schemes for an uncertain quadrotor unmanned aerial vehicle (UAV) systems in the presence of constant external disturbances, parametric uncertainties, measurement noise, time-varying external disturbances, and random external disturbances. Furthermore, in all the control techniques proposed in this book, it includes the simulation results with comparison to other nonlinear control schemes recently developed for the tracking control of a quadrotor UAV. The main contributions of the present book for quadrotor UAV systems are as follows: (i) the proposed control methods are based on the high-order sliding mode controller (SMC) and hybrid control algorithm with an optimization method. (ii) the finite-time control schemes are developed by using fast terminal SMC (FTSMC), nonsingular FTSMC (NFTSMC), global time-varying SMC, and adaptive laws. (iii) the fractional-order flight control schemes are developed by using the fractional-order calculus theory, super twisting algorithm, NFTSMC, and the SMC. This book covers the research history and importance of quadrotor system subject to system uncertainties, external wind disturbances, and noise measurements, as well as the research status of advanced flight control methods, adaptive flight control methods, and flight control based on fractional-order theory. The book would be interesting to most academic undergraduate, postgraduates, researchers on flight control for drones and applications of advanced controllers in engineering field. This book presents a must-survey for advanced finite-time control for quadrotor system. Some parts of this book have the potential of becoming the courses for the modelling and control of autonomous flying machines. Readers (academic researcher, undergraduate student, postgraduate student, MBA/executive, and education practitioner) interested in nonlinear control methods find this book an investigation. This book can be used as a good reference for the academic research on the control theory, drones, terminal sliding mode control, and related to this or used in Ph.D. study of control theory and their application in field engineering.

Design of Control Laws and State Observers for Fixed-Wing UAVs

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Publisher : Elsevier
ISBN 13 : 0323954049
Total Pages : 292 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Design of Control Laws and State Observers for Fixed-Wing UAVs by : Arturo Tadeo Espinoza-Fraire

Download or read book Design of Control Laws and State Observers for Fixed-Wing UAVs written by Arturo Tadeo Espinoza-Fraire and published by Elsevier. This book was released on 2022-09-29 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design of Control Laws and State Observers for Fixed-Wing UAVs: Simulation and Experimental Approaches provides readers with modeling techniques, simulations, and results from real-time experiments using linear and nonlinear controllers and state observers. The book starts with an overview of the history of UAVs and the equations of motion applied to them. Following chapters analyze linear and nonlinear controllers, state observers, and the book concludes with a chapter discussing testbed development and experimental results, equipping readers with the knowledge they need to conduct their own stable UAV flights whether in simulation or real-time. Presents aerodynamic models for fixed-wing UAVs that can be used to design control laws and state observers Applies linear and nonlinear control theories and state observers to fixed-wing UAVs Provides real-time flight and simulation test results of fixed-wing UAVs with linear and nonlinear controllers

Robust Discrete-Time Flight Control of UAV with External Disturbances

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Publisher : Springer Nature
ISBN 13 : 3030579573
Total Pages : 207 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Robust Discrete-Time Flight Control of UAV with External Disturbances by : Shuyi Shao

Download or read book Robust Discrete-Time Flight Control of UAV with External Disturbances written by Shuyi Shao and published by Springer Nature. This book was released on 2020-09-26 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book studies selected discrete-time flight control schemes for fixed-wing unmanned aerial vehicle (UAV) systems in the presence of system uncertainties, external disturbances and input saturation. The main contributions of this book for UAV systems are as follows: (i) the proposed integer-order discrete-time control schemes are based on the designed discrete-time disturbance observers (DTDOs) and the neural network (NN); and (ii) the fractional-order discrete-time control schemes are developed by using the fractional-order calculus theory, the NN and the DTDOs. The book offers readers a good understanding of how to establish discrete-time tracking control schemes for fixed-wing UAV systems subject to system uncertainties, external wind disturbances and input saturation. It represents a valuable reference guide for academic research on uncertain UAV systems, and can also support advanced / Ph.D. studies on control theory and engineering.

Robust Formation Control for Multiple Unmanned Aerial Vehicles

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Publisher : CRC Press
ISBN 13 : 1000788504
Total Pages : 145 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Robust Formation Control for Multiple Unmanned Aerial Vehicles by : Hao Liu

Download or read book Robust Formation Control for Multiple Unmanned Aerial Vehicles written by Hao Liu and published by CRC Press. This book was released on 2022-12-01 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the authors’ recent research results on formation control problems, including time-varying formation, communication delays, fault-tolerant formation for multiple UAV systems with highly nonlinear and coupled, parameter uncertainties, and external disturbances. Differentiating from existing works, this book presents a robust optimal formation approach to designing distributed cooperative control laws for a group of UAVs, based on the linear quadratic regulator control method and the robust compensation theory. The proposed control method is composed of two parts: the nominal part to achieve desired tracking performance and the robust compensation part to restrain the influence of highly nonlinear and strongly coupled parameter uncertainties, and external disturbances on the global closed-loop control system. Furthermore, this book gives proof of their robust properties. The influence of communication delays and actuator fault tolerance can be restrained by the proposed robust formation control protocol, and the formation tracking errors can converge into a neighborhood of the origin bounded by a given constant in a finite time. Moreover, the book provides details about the practical application of the proposed method to design formation control systems for multiple quadrotors and tail-sitters. Additional features include a robust control method that is proposed to address the formation control problem for UAVs and theoretical and experimental research for the cooperative flight of the quadrotor UAV group and the tail-sitter UAV group. Robust Formation Control for Multiple Unmanned Aerial Vehicles is suitable for graduate students, researchers, and engineers in the system and control community, especially those engaged in the areas of robust control, UAV swarming, and multi-agent systems.

Neural Network Based Adaptive Control for Autonomous Flight of Fixed Wing Unmanned Aerial Vehicles

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Publisher :
ISBN 13 :
Total Pages : 185 pages
Book Rating : 4.:/5 (54 download)

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Book Synopsis Neural Network Based Adaptive Control for Autonomous Flight of Fixed Wing Unmanned Aerial Vehicles by : Vishwas Ramadas Puttige

Download or read book Neural Network Based Adaptive Control for Autonomous Flight of Fixed Wing Unmanned Aerial Vehicles written by Vishwas Ramadas Puttige and published by . This book was released on 2009 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents the development of small, inexpensive unmanned aerial vehicles (UAVs) to achieve autonomous fight. Fixed wing hobby model planes are modified and instrumented to form experimental platforms. Different sensors employed to collect the flight data are discussed along with their calibrations. The time constant and delay for the servo-actuators for the platform are estimated. Two different data collection and processing units based on micro-controller and PC104 architectures are developed and discussed. These units are also used to program the identification and control algorithms. Flight control of fixed wing UAVs is a challenging task due to the coupled, time-varying, nonlinear dynamic behaviour. One of the possible alternatives for the flight control system is to use the intelligent adaptive control techniques that provide online learning capability to cope with varying dynamics and disturbances. Neural network based indirect adaptive control strategy is applied for the current work. The two main components of the adaptive control technique are the identification block and the control block. Identification provides a mathematical model for the controller to adapt to varying dynamics. Neural network based identification provides a black-box identification technique wherein a suitable network provides prediction capability based upon the past inputs and outputs. Auto-regressive neural networks are employed for this to ensure good retention capabilities for the model that uses the past outputs and inputs along with the present inputs. Online and offline identification of UAV platforms are discussed based upon the flight data. Suitable modifications to the Levenberg-Marquardt training algorithm for online training are proposed. The effect of varying the different network parameters on the performance of the network are numerically tested out. A new performance index is proposed that is shown to improve the accuracy of prediction and also reduces the training time for these networks. The identification algorithms are validated both numerically and flight tested. A hardware-in-loop simulation system has been developed to test the identification and control algorithms before flight testing to identify the problems in real time implementation on the UAVs. This is developed to keep the validation process simple and a graphical user interface is provided to visualise the UAV flight during simulations. A dual neural network controller is proposed as the adaptive controller based upon the identification models. This has two neural networks collated together. One of the neural networks is trained online to adapt to changes in the dynamics. Two feedback loops are provided as part of the overall structure that is seen to improve the accuracy. Proofs for stability analysis in the form of convergence of the identifier and controller networks based on Lyapunov's technique are presented. In this analysis suitable bounds on the rate of learning for the networks are imposed. Numerical results are presented to validate the adaptive controller for single-input single-output as well as multi-input multi-output subsystems of the UAV. Real time validation results and various flight test results confirm the feasibility of the proposed adaptive technique as a reliable tool to achieve autonomous flight. The comparison of the proposed technique with a baseline gain scheduled controller both in numerical simulations as well as test flights bring out the salient adaptive feature of the proposed technique to the time-varying, nonlinear dynamics of the UAV platforms under different flying conditions.

Applying the PPO Algorithm to Fixed-Wing UAV Attitude Control

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Applying the PPO Algorithm to Fixed-Wing UAV Attitude Control by : Po-Hsun Wu

Download or read book Applying the PPO Algorithm to Fixed-Wing UAV Attitude Control written by Po-Hsun Wu and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis applies the reinforcement learning (RL) to design the attitude controller for fixed-wing unmanned aerial vehicle. In contrast to traditional linear control theory, which are limited to linearization, or complex nonlinear control theory solving processes, reinforcement learning utilizes an artificial neural network as the control law and applies RL algorithm to train the network by adjusting its parameters. The results demonstrate that the controller designed using the RL framework exhibits advantages over traditional control laws. Within the RL architecture, there are four main elements: policy, algorithm, reward function, and environment. In this thesis, a combination of a quadratic performance index and a time varying coefficient is used as the reward function. The categorize policy is employed as the controller, and the linearized UAV dynamic model and the fourth order Runge-Kutta method are utilized as the training environment. The Proximal Policy Optimization algorithm (PPO algorithm) is used to train the policy. Upon completing the training, a neural network controller is obtained. The results demonstrate that the trained controller successfully achieves the goal of controlling the UAV's attitude.

Real-time non-linear flight control of a fixed-wing UAV.

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Publisher :
ISBN 13 : 9780494838723
Total Pages : pages
Book Rating : 4.8/5 (387 download)

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Book Synopsis Real-time non-linear flight control of a fixed-wing UAV. by : Mario Landry

Download or read book Real-time non-linear flight control of a fixed-wing UAV. written by Mario Landry and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical Reviews

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Publisher :
ISBN 13 :
Total Pages : 844 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Mathematical Reviews by :

Download or read book Mathematical Reviews written by and published by . This book was released on 2004 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Autonomous and Semi-autonomous Control of Agile Fixed-wing Unmanned Aerial Vehicles

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

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Book Synopsis Autonomous and Semi-autonomous Control of Agile Fixed-wing Unmanned Aerial Vehicles by : Juan Carlos Hernandez Ramirez

Download or read book Autonomous and Semi-autonomous Control of Agile Fixed-wing Unmanned Aerial Vehicles written by Juan Carlos Hernandez Ramirez and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Unmanned aerial vehicles (UAVs) have been increasingly employed for a wide range of civilian applications, including scientific and commercial endeavours. Striving for versatility, novel UAV designs have been proposed which incorporate features from different aircraft categories. The agile fixed-wing UAV is one such platform, which combines the fast andefficient flight of conventional fixed-wing aircraft with the highly maneuverable hovering capabilities of rotorcraft. These aircraft have enormous potential but are challenging to operate, demonstrating the need for control systems capable of harnessing their maneuvering capabilities. The objective of this thesis is to develop a comprehensive control strategy for the agile fixed-wing UAV, considering both autonomous, and pilot-assist, semi-autonomous operation. The thesis begins by introducing the fixed-wing UAV model, including previously developed aerodynamic and slipstream models needed for controller design and verification. Controllerdesign begins in the next chapter, where the core attitude control system is developed. We propose several geometric control strategies which are then evaluated through simulations and experiments. The next chapter presents a nonlinear control strategy to enable UAV velocity and position control. This is a unified control architecture, where a single controller is valid for steady and hover flight regimes. Rigorous stability analysis, together with simulations and experimental flights demonstrate the capabilities of the proposed system. The following chapter, we propose an additional control loop to enable path-following functionality, allowing us to prioritize the task of reaching and following spatial paths. As part of this system, a novel moving path frame is developed, specifically tailored for the task of motion control in three-dimensional space. Finally, a reference generator capable of translating limited pilot inputs into time-parametrized trajectories or spatial paths is developed. This system is then integrated with the control systems to achieve a semi-autonomous control solution. As demonstrated through experimental flights, the proposed system enables a human pilot to safely operate the aircraft inany regime without sacrificing its maneuverability"--

Intelligent Adaptive Control for Nonlinear Applications

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Publisher :
ISBN 13 :
Total Pages : 168 pages
Book Rating : 4.:/5 (3 download)

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Book Synopsis Intelligent Adaptive Control for Nonlinear Applications by : Shaaban Ali Salman Ali

Download or read book Intelligent Adaptive Control for Nonlinear Applications written by Shaaban Ali Salman Ali and published by . This book was released on 2008 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thesis deals with the design and implementation of an Adaptive Flight Control technique for Unmanned Aerial Vehicles (UAVs). The application of UAVs has been increasing exponentially in the last decade both in Military and Civilian fronts. These UAVs fly at very low speeds and Reynolds numbers, have nonlinear coupling, and tend to exhibit time varying characteristics. In addition, due to the variety of missions, they fly in uncertain environments exposing themselves to unpredictable external disturbances. The successful completion of the UAV missions is largely dependent on the accuracy of the control provided by the flight controllers. Thus there is a necessity for accurate and robust flight controllers. These controllers should be able to adapt to the changes in the dynamics due to internal and external changes. From the available literature, it is known that, one of the better suited adaptive controllers is the model based controller. The design and implementation of model based adaptive controller is discussed in the thesis. A critical issue in the design and application of model based control is the online identification of the UAV dynamics from the available sensors using the onboard processing capability. For this, proper instrumentation in terms of sensors and avionics for two platforms developed at UNSW@ADFA is discussed. Using the flight data from the remotely flown platforms, state space identification and fuzzy identification are developed to mimic the UAV dynamics. Real time validations using Hardware in Loop (HIL) simulations show that both the methods are feasible for control. A finer comparison showed that the accuracy of identification using fuzzy systems is better than the state space technique. The flight tests with real time online identification confirmed the feasibility of fuzzy identification for intelligent control. Hence two adaptive controllers based on the fuzzy identification are developed. The first adaptive controller is a hybrid indirect adaptive controller that utilises the model sensitivity in addition to output error for adaptation. The feedback of the model sensitivity function to adapt the parameters of the controller is shown to have beneficial effects, both in terms of convergence and accuracy. HIL simulations applied to the control of roll stabilised pitch autopilot for a typical UAV demonstrate the improvements compared to the direct adaptive controller. Next a novel fuzzy model based inversion controller is presented. The analytical approximate inversion proposed in this thesis does not increase the computational effort. The comparisons of this controller with other controller for a benchmark problem are presented using numerical simulations. The results bring out the superiority of this technique over other techniques. The extension of the analytical inversion based controller for multiple input multiple output problem is presented for the design of roll stabilised pitch autopilot for a UAV. The results of the HIL simulations are discussed for a typical UAV. Finally, flight test results for angle of attack control of one of the UAV platforms at UNSW@ADFA are presented. The flight test results show that the adaptive controller is capable of controlling the UAV suitably in a real environment, demonstrating its robustness characteristics.

Small Unmanned Aircraft

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Publisher : Princeton University Press
ISBN 13 : 1400840600
Total Pages : 317 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Small Unmanned Aircraft by : Randal W. Beard

Download or read book Small Unmanned Aircraft written by Randal W. Beard and published by Princeton University Press. This book was released on 2012-02-26 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous unmanned air vehicles (UAVs) are critical to current and future military, civil, and commercial operations. Despite their importance, no previous textbook has accessibly introduced UAVs to students in the engineering, computer, and science disciplines--until now. Small Unmanned Aircraft provides a concise but comprehensive description of the key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables all students with an introductory-level background in controls or robotics to enter this exciting and important area. The authors explore the essential underlying physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning. The textbook leads the student from rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. To facilitate understanding, the authors have replaced traditional homework assignments with a simulation project using the MATLAB/Simulink environment. Students begin by modeling rigid-body dynamics, then add aerodynamics and sensor models. They develop low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms. The final chapter of the book focuses on UAV guidance using machine vision. Designed for advanced undergraduate or graduate students in engineering or the sciences, this book offers a bridge to the aerodynamics and control of UAV flight.

Nonlinear Control Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1846286158
Total Pages : 557 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Nonlinear Control Systems by : Alberto Isidori

Download or read book Nonlinear Control Systems written by Alberto Isidori and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to present a self-contained description of the fun damentals of the theory of nonlinear control systems, with special emphasis on the differential geometric approach. The book is intended as a graduate text as weil as a reference to scientists and engineers involved in the analysis and design of feedback systems. The first version of this book was written in 1983, while I was teach ing at the Department of Systems Science and Mathematics at Washington University in St. Louis. This new edition integrates my subsequent teaching experience gained at the University of Illinois in Urbana-Champaign in 1987, at the Carl-Cranz Gesellschaft in Oberpfaffenhofen in 1987, at the University of California in Berkeley in 1988. In addition to a major rearrangement of the last two Chapters of the first version, this new edition incorporates two additional Chapters at a more elementary level and an exposition of some relevant research findings which have occurred since 1985.

Advanced UAV Aerodynamics, Flight Stability and Control

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Publisher : John Wiley & Sons
ISBN 13 : 1118928687
Total Pages : 799 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Advanced UAV Aerodynamics, Flight Stability and Control by : Pascual Marqués

Download or read book Advanced UAV Aerodynamics, Flight Stability and Control written by Pascual Marqués and published by John Wiley & Sons. This book was released on 2017-07-11 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensively covers emerging aerospace technologies Advanced UAV aerodynamics, flight stability and control: Novel concepts, theory and applications presents emerging aerospace technologies in the rapidly growing field of unmanned aircraft engineering. Leading scientists, researchers and inventors describe the findings and innovations accomplished in current research programs and industry applications throughout the world. Topics included cover a wide range of new aerodynamics concepts and their applications for real world fixed-wing (airplanes), rotary wing (helicopter) and quad-rotor aircraft. The book begins with two introductory chapters that address fundamental principles of aerodynamics and flight stability and form a knowledge base for the student of Aerospace Engineering. The book then covers aerodynamics of fixed wing, rotary wing and hybrid unmanned aircraft, before introducing aspects of aircraft flight stability and control. Key features: Sound technical level and inclusion of high-quality experimental and numerical data. Direct application of the aerodynamic technologies and flight stability and control principles described in the book in the development of real-world novel unmanned aircraft concepts. Written by world-class academics, engineers, researchers and inventors from prestigious institutions and industry. The book provides up-to-date information in the field of Aerospace Engineering for university students and lecturers, aerodynamics researchers, aerospace engineers, aircraft designers and manufacturers.

Selected papers from the 2nd International Symposium on UAVs, Reno, U.S.A. June 8-10, 2009

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Publisher : Springer Science & Business Media
ISBN 13 : 9048187648
Total Pages : 519 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Selected papers from the 2nd International Symposium on UAVs, Reno, U.S.A. June 8-10, 2009 by : Kimon P. Valavanis

Download or read book Selected papers from the 2nd International Symposium on UAVs, Reno, U.S.A. June 8-10, 2009 written by Kimon P. Valavanis and published by Springer Science & Business Media. This book was released on 2011-04-11 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade, signi?cant changes have occurred in the ?eld of vehicle motion planning, and for UAVs in particular. UAV motion planning is especially dif?cult due to several complexities not considered by earlier planning strategies: the - creased importance of differential constraints, atmospheric turbulence which makes it impossible to follow a pre-computed plan precisely, uncertainty in the vehicle state, and limited knowledge about the environment due to limited sensor capabilities. These differences have motivated the increased use of feedback and other control engineering techniques for motion planning. The lack of exact algorithms for these problems and dif?culty inherent in characterizing approximation algorithms makes it impractical to determine algorithm time complexity, completeness, and even soundness. This gap has not yet been addressed by statistical characterization of experimental performance of algorithms and benchmarking. Because of this overall lack of knowledge, it is dif?cult to design a guidance system, let alone choose the algorithm. Throughout this paper we keep in mind some of the general characteristics and requirements pertaining to UAVs. A UAV is typically modeled as having velocity and acceleration constraints (and potentially the higher-order differential constraints associated with the equations of motion), and the objective is to guide the vehicle towards a goal through an obstacle ?eld. A UAV guidance problem is typically characterized by a three-dimensional problem space, limited information about the environment, on-board sensors with limited range, speed and acceleration constraints, and uncertainty in vehicle state and sensor data.

Aircraft Control and Simulation

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Publisher : John Wiley & Sons
ISBN 13 : 1118870972
Total Pages : 768 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Aircraft Control and Simulation by : Brian L. Stevens

Download or read book Aircraft Control and Simulation written by Brian L. Stevens and published by John Wiley & Sons. This book was released on 2015-10-02 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get a complete understanding of aircraft control and simulation Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems, Third Edition is a comprehensive guide to aircraft control and simulation. This updated text covers flight control systems, flight dynamics, aircraft modeling, and flight simulation from both classical design and modern perspectives, as well as two new chapters on the modeling, simulation, and adaptive control of unmanned aerial vehicles. With detailed examples, including relevant MATLAB calculations and FORTRAN codes, this approachable yet detailed reference also provides access to supplementary materials, including chapter problems and an instructor's solution manual. Aircraft control, as a subject area, combines an understanding of aerodynamics with knowledge of the physical systems of an aircraft. The ability to analyze the performance of an aircraft both in the real world and in computer-simulated flight is essential to maintaining proper control and function of the aircraft. Keeping up with the skills necessary to perform this analysis is critical for you to thrive in the aircraft control field. Explore a steadily progressing list of topics, including equations of motion and aerodynamics, classical controls, and more advanced control methods Consider detailed control design examples using computer numerical tools and simulation examples Understand control design methods as they are applied to aircraft nonlinear math models Access updated content about unmanned aircraft (UAVs) Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems, Third Edition is an essential reference for engineers and designers involved in the development of aircraft and aerospace systems and computer-based flight simulations, as well as upper-level undergraduate and graduate students studying mechanical and aerospace engineering.