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Adaptive Control Of Nonminimum Phase Aerospace Vehicles
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Book Synopsis Adaptive Control of Nonminimum Phase Aerospace Vehicles by : Anusha Mannava
Download or read book Adaptive Control of Nonminimum Phase Aerospace Vehicles written by Anusha Mannava and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In the second part, control design for HSV is attempted through a weaker coupling, i.e. by lift control. An internal model is used for redefining tracking errors and forming a loop interconnection with pitch angle and pitch-rate. This loop generates zero dynamics which must be stabilized. The pitch dynamics are steered towards a command input by selecting the input to the internal model. The internal model is stabilized by the selection of the command input to the pitch dynamics. This successive redefinition of the regulated outputs between the nested zero dynamics is the critical design element for overall system stability. The loop interconnection between the internal model and the pitch dynamics is stabilized by a small-gain analysis. In this design, coefficients of all three-lift,drag and moment coefficients are estimated by adaptive update laws. The main contribution of this dissertation is a demonstration of adaptive control design for nonlinear nonminimum phase systems using only thrust and elevator deflection as control inputs with the air-breathing hypersonic vehicle as a case study.
Book Synopsis Model Reference Adaptive Control for Nonminimum Phase Aerospace Systems by : Kelley Elizabeth Hashemi
Download or read book Model Reference Adaptive Control for Nonminimum Phase Aerospace Systems written by Kelley Elizabeth Hashemi and published by . This book was released on 2016 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive control techniques are often avoided in aerospace systems due to stringent plant structural requirements and validation difficulties. This dissertation seeks to broaden the range of aerospace engineering applications that can utilize an adaptive controller through the development of an extended model reference adaptive control (MRAC) design. First, a partitioned control framework is presented that permits the combined use of an adaptive control law and a nonadaptive control law. The partitioned framework is used to shift full control authority away from the adaptive portion of the system. Next, two MRAC variations that can accommodate the nonminimum phase zeros often seen in aerospace applications are discussed for use as the adaptive system. The parallel feedforward compensator approach proposes inclusion of a user--defied fictitious model in parallel with the plant that is designed to make the plant appear nonminimum phase. The surrogate tracking error approach modifies the typical MRAC structure to handle nonminimum phase plants by requiring knowledge of its nonminimum phase zeros. A tracking error convergence proof is provided for this continuous-time MRAC variant. The partitioned design using the surrogate tracking error approach is applied to the control tasks of an experimental, flexible wing aircraft. A simulation is used to demonstrate much improved flight path angle command tracking when compared to use of the aircraft's existing nonadaptive control law, even in the presence of large--scale modeling error. A second simulation is used to show the design applied to flexible motion control of the same aircraft model and exhibits similarly improved performance.
Book Synopsis Adaptive Control of Nonminimum Phase Systems Using Sensor Blending with Application to Launch Vehicle Control by : Anna L. Hartman
Download or read book Adaptive Control of Nonminimum Phase Systems Using Sensor Blending with Application to Launch Vehicle Control written by Anna L. Hartman and published by . This book was released on 2011 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this research project was to investigate the use of a simple direct adaptive controller in the guidance of a large, flexible launch vehicle. The adaptive controller, requiring no on-line information about the plant other than sensor outputs, would theoretically be a more robust candidate controller in the presence of unmodeled plant dynamics than a model-based fixed gain linear controller. NASA's seven-state FRACTAL academic model for ARES I-X was employed as an example launch vehicle on which to develop the controller. To better understand the dynamic issues, a simplified model was analyzed which incorporated the inherent instability and the nonminimum phase nature of the launch vehicle: an inverted pendulum with an attachable slosh tank. Controllers were formulated for this simplified plant with slosh dynamics using control algorithms developed on a reduced-order model consisting of the rigid body dynamics without slosh. The controllers must reject three different persistent input disturbances: persistent pulse, step, and sinusoid. It was assumed, based on the original optical encoder sensor setup on the pendulum, that only position feedback was directly available, and that rates would have to be derived or estimated. For comparison, a fixed gain linear controller was developed using the well-known Linear Quadratic Gaussian methodology using state estimation to obtain rate estimates and incorporating disturbance accommodation. For a stable adaptive controller, we used direct adaptive control theory developed by Balas, et al. For this theory we needed CB>0 and a minimum-phase open-loop transfer function. A new transmission zero selection method was employed to develop a blended output shaping matrix which would satisfy these conditions robustly. Approximate differentiation filters were used to obtain rates for the adaptive controller and added a disturbance rejection loop. Following the work on the pendulum, the same method was applied to develop an adaptive controller for the FRACTAL launch vehicle model. An adaptive controller stabilizes a rigid body version of FRACTAL; however, the same controller does not stabilize the full order FRACTAL model at this time.
Book Synopsis Robust and Adaptive Control by : Eugene Lavretsky
Download or read book Robust and Adaptive Control written by Eugene Lavretsky and published by Springer Nature. This book was released on 2023 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: Robust and Adaptive Control (second edition) shows readers how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications, the focus of the book is primarily on continuous-time dynamical systems. The two-part text begins with robust and optimal linear control methods and moves on to a self-contained presentation of the design and analysis of model reference adaptive control for nonlinear uncertain dynamical systems. Features of the second edition include: sufficient conditions for closed-loop stability under output feedback observer-based loop-transfer recovery (OBLTR) with adaptive augmentation; OBLTR applications to aerospace systems; case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms; realistic examples and simulation data illustrating key features of the methods described; and problem solutions for instructors and MATLAB® code provided electronically. The theory and practical applications address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles drawn from the authors' extensive professional experience with The Boeing Company. The systems covered are challenging--often open-loop unstable with uncertainties in their dynamics--and thus require both persistently reliable control and the ability to track commands either from a pilot or a guidance computer. Readers should have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems. The second edition contains a background summary of linear systems and control systems and an introduction to state observers and output feedback control, helping to make it self-contained. Robust and Adaptive Control teaches senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value
Book Synopsis Robust and Adaptive Control by : Eugene Lavretsky
Download or read book Robust and Adaptive Control written by Eugene Lavretsky and published by Springer Science & Business Media. This book was released on 2012-11-13 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems. Recent extensions and modifications to MRAC design are included, as are guidelines for combining robust optimal and MRAC controllers. Features of the text include: · case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms; · detailed background material for each chapter to motivate theoretical developments; · realistic examples and simulation data illustrating key features of the methods described; and · problem solutions for instructors and MATLAB® code provided electronically. The theoretical content and practical applications reported address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles that are drawn from the authors’ extensive professional experience with The Boeing Company. The systems covered are challenging, often open-loop unstable, with uncertainties in their dynamics, and thus requiring both persistently reliable control and the ability to track commands either from a pilot or a guidance computer. Readers are assumed to have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems. Robust and Adaptive Control is intended to methodically teach senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value.
Book Synopsis Robust Adaptive Control by : Petros Ioannou
Download or read book Robust Adaptive Control written by Petros Ioannou and published by Courier Corporation. This book was released on 2013-09-26 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.
Book Synopsis Advances in Aerospace Guidance, Navigation and Control by : Florian Holzapfel
Download or read book Advances in Aerospace Guidance, Navigation and Control written by Florian Holzapfel and published by Springer Science & Business Media. This book was released on 2011-03-15 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last few decades, both the aeronautics and space disciplines have greatly influenced advances in controls, sensors, data fusion and navigation. Many of those achievements that made the word “aerospace” synonymous with “high–tech” were enabled by innovations in guidance, navigation and control. Europe has seen a strong trans-national consolidation process in aerospace over the last few decades. Most of the visible products, like commercial aircraft, fighters, helicopters, satellites, launchers or missiles, are not made by a single country – they are the fruits of cooperation. No European country by itself hosts a specialized guidance, navigation and controls community large enough to cover the whole spectrum of disciplines. However, on a European scale, mutual exchange of ideas, concepts and solutions is enriching for all. The 1st CEAS Specialist Conference on Guidance, Navigation and Control is an attempt to bring this community together. This book is a selection of papers presented at the conference. All submitted papers have gone through a formal review process in compliance with good journal practices. The best papers have been recommended by the reviewers to be published in this book.
Book Synopsis Digital Adaptive Flight Control System, Phase Ii by : R. E. ANDEEN
Download or read book Digital Adaptive Flight Control System, Phase Ii written by R. E. ANDEEN and published by . This book was released on 1964 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: An investigation was made to determine if the dynamics of an aerospace vehicle might be identified more readily if represented in some other form than a z-transform. An analysis and simulation performed indicate that a representation in terms of linear band-pass filters is preferable. An investigation was made of an implicit response matching technique applicable to both identification and synthesis, which form the bases for self-adaptive control. In a digital simulation the implicit technique was able to simultaneously identify five parameters of a typical aerospace vehicle within 2 seconds without noise, and within 5 seconds with 30 percent noise. An investigation and digital simulation was made of a hybrid digital adaptive flight control system which uses the implicit technique. The system identified 4 parameters of a typical vehicle, and adjusted 2 parameters of the flight control system to provide optimum response. (Author).
Book Synopsis Computational and Experimental Simulations in Engineering by : Shaofan Li
Download or read book Computational and Experimental Simulations in Engineering written by Shaofan Li and published by Springer Nature. This book was released on with total page 1358 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Survey of Adaptive Control Appilcations to Aerospace Vehicles by : Harold L. Ehlers
Download or read book Survey of Adaptive Control Appilcations to Aerospace Vehicles written by Harold L. Ehlers and published by . This book was released on 1968 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Autonomous Guidance by : Alberto Isidori
Download or read book Robust Autonomous Guidance written by Alberto Isidori and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "The book is an excellent combination of theory and real-world applications. Each application not only demonstrates the power of the theoretical results but also is important on its own behalf." IEEE Control Systems Magazine
Author :Madan M. Gupta Publisher :New York : Institute of Electrical and Electronics Engineers ISBN 13 : Total Pages :494 pages Book Rating :4.3/5 (97 download)
Book Synopsis Adaptive Methods for Control System Design by : Madan M. Gupta
Download or read book Adaptive Methods for Control System Design written by Madan M. Gupta and published by New York : Institute of Electrical and Electronics Engineers. This book was released on 1986 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Aeronautical Engineering written by and published by . This book was released on 1991 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computers, Control & Information Theory by :
Download or read book Computers, Control & Information Theory written by and published by . This book was released on 1984 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonlinear Adaptive Controller Design for Air-breathing Hypersonic Vehicles by : Lisa Fiorentini
Download or read book Nonlinear Adaptive Controller Design for Air-breathing Hypersonic Vehicles written by Lisa Fiorentini and published by . This book was released on 2010 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: This dissertation presents the design of two nonlinear robust controllers for an air-breathing hypersonic vehicle model capable of providing stable tracking of velocity and altitude (or flight-path angle) reference trajectories. To overcome the analytical intractability of a dynamical model derived from first principles, a simplified control-oriented model is used for control design. The control-oriented model retains the most important features of the model from which it was derived, including the non-minimum phase characteristic of the flight-path angle dynamics and strong couplings between the engine and flight dynamics. The first control design considers as control inputs the fuel equivalence ratio and the elevator and canard deflections. A combination of nonlinear sequential loop-closure and adaptive dynamic inversion has been adopted for the design of a dynamic state-feedback controller. An important contribution given by this work is the complete characterization of the internal dynamics of the model has been derived for Lyapunov-based stability analysis of the closed-loop system, which includes the structural dynamics. The results obtained address the issue of stability robustness with respect to both parametric model uncertainty, which naturally arises in adopting reduced-complexity models for control design, and dynamic perturbations due to the flexible dynamics. In the second control design a first step has been taken in extending those results in the case in which only two control inputs are available, namely the fuel equivalence ratio and the elevator deflection. The extension of these results to this new framework is not trivial since several issues arise. First of all, the vehicle dynamics are characterized by exponentially unstable zero-dynamics when longitudinal velocity and flight-path angle are selected as regulated output. This non-minimum phase behavior arises as a consequence of elevator-to-lift coupling. In the previous design the canard was strategically used to adaptively decouple lift from elevator command, thus rendering the system minimum phase. Moreover, the canard input was also employed to enforce the equilibrium at the desired trim condition and to provide a supplementary stabilizing action. As a result, when this control input is not assumed to be available, the fact that the system needs to be augmented with an integrator (to reconstruct the desired equilibrium) and the non-minimum phase behavior have a strong impact on the control design. In these preliminary results the flexible effects are not taken into account in the stability analysis but are considered as a perturbation and included in the simulation model. The approach considered utilizes a combination of adaptive and robust design methods based on both classical and recently developed nonlinear design tools. As a result, the issue of robustness with respect to parameter uncertainties is addressed also in this control design. Simulation results on the full nonlinear model show the effectiveness of both controllers.
Book Synopsis Proceedings of the International Conference on Signal, Networks, Computing, and Systems by : Daya K. Lobiyal
Download or read book Proceedings of the International Conference on Signal, Networks, Computing, and Systems written by Daya K. Lobiyal and published by Springer. This book was released on 2016-10-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented in the first International Conference on Signal, Networks, Computing, and Systems (ICSNCS 2016) held at Jawaharlal Nehru University, New Delhi, India during February 25–27, 2016. The book is organized in to two volumes and primarily focuses on theory and applications in the broad areas of communication technology, computer science and information security. The book aims to bring together the latest scientific research works of academic scientists, professors, research scholars and students in the areas of signal, networks, computing and systems detailing the practical challenges encountered and the solutions adopted.
