Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Design Of Robust Particle Swarm Optimization Tuned Fuzzy Controller For A Single Axis Small Magnetic Levitation System
Download Design Of Robust Particle Swarm Optimization Tuned Fuzzy Controller For A Single Axis Small Magnetic Levitation System full books in PDF, epub, and Kindle. Read online Design Of Robust Particle Swarm Optimization Tuned Fuzzy Controller For A Single Axis Small Magnetic Levitation System ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Design of Robust Particle Swarm Optimization - Tuned Fuzzy Controller for a Single Axis Small Magnetic Levitation System by : Basheer Noaman Hussein
Download or read book Design of Robust Particle Swarm Optimization - Tuned Fuzzy Controller for a Single Axis Small Magnetic Levitation System written by Basheer Noaman Hussein and published by . This book was released on 2010 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: A control system is robust when it has low sensitivity, it is stable over the range of parameter variations and the performance continues to meet the specification in the presence of a set of changes in the system parameters and disturbances. In this work the design of the robust linear and nonlinear controllers for Single Axis Magnetic Levitation System are presented. These controllers must overcome the problems of the high steady state error and robustness in the magnetic levitation system. The design of H_∞ robust controller is presented first and the system dynamics are linearized to be suitable for applying the H_∞ robust control technique. The magnetic force is regulated using this controller to achieve robust stability and performance, disturbance/noise rejection and asymptotic tracking with zero steady state error. The plant with structured uncertainty is expressed in terms of unstructured multiplicative uncertainty to cover the overall change in system parameters. The unstructured multiplicative uncertainty is determined using curve fitting method. The designed H_∞ controller has assured robust stability and robust performance of the single axis magnetic levitation system with parametric uncertainty. The parameters of the performance and control weighting functions that are obtained using trial and error lead to obtain a robust controller that achieves force control of magnetic levitation system. The design of PD like fuzzy robust controller is presented secondly in this work. The Particle Swarm Optimization method (PSO) is used to find the optimal values of the Scalar gains and the membership functions subject to the robust control and minimum error constraints. The designed PD like fuzzy controller has assured robust stability and robust performance of the nonlinear model of single axis magnetic levitation system. This controller minimizes the rules from 64 rules to 16 rules and achieved zero steady state error without using the integral. Finally, a comparison between the performances of the H_∞ controller and the optimal fuzzy logic controller has been made. It shows that the nonlinear optimal fuzzy logic controller achieve better performance than the linear H_∞ controller.
Book Synopsis Nonlinear Controller Design and Implementation for a Magnetic Levitation System by : Daniel L. Hall
Download or read book Nonlinear Controller Design and Implementation for a Magnetic Levitation System written by Daniel L. Hall and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Author's abstract: In this study, an approach is presented to nonlinear control of a magnetic levitation system using artificial neural networks (ANNs). Two neural networks, the multi-layer perceptron (MLP) and the single multiplicative neuron (SMN), are investigated in this work. A novel form of ANN, namely, single multiplicative neuron (SMN), is proposed in place of the more traditional multi-layer perceptron (MLP). SMN derives its name from the single neuron computation model in neuroscience. Both off-line training and on-line learning of SMN have been considered along with off-line training of MLP. The SMN model is first trained off-line, to estimate the network parameters (weights and biases), using a population based stochastic optimization technique, namely, particle swarm optimization (PSO). An on-line learning algorithm has been developed for updating the SMN model parameters using a gradient-descent method. The ANN based techniques have been compared with a feedback linearization approach. The control algorithms have been developed and implemented on a hardware-in-the-loop (HIL) system of magnetic levitation in LabVIEW environment. The ANN based controllers performed very well and much better than the feedback linearization controller. However, the SMN structure was much simpler than the MLP with similar performance. With a simpler structure and faster computation, the SMN has the potential to be preferred to conventional MLP type ANNs for implementation in real-life, complex, nonlinear magnetic levitation systems.
Book Synopsis Optimization of Fuzzy Logic Controllers by Particle Swarm Optimization to Increase the Lifetime in Power Electronic Stages by : Pedro Ponce
Download or read book Optimization of Fuzzy Logic Controllers by Particle Swarm Optimization to Increase the Lifetime in Power Electronic Stages written by Pedro Ponce and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, brushless direct current motor (BLDCM) applications have been increased due to their advantages as low size, mechanical torque, high-speed range, to mention some. The BLDCM control is required to operate at high frequency, high temperature, large voltage, and quick changes of current; as a result of this kind of operation, the power drive lifetime is affected. The power drives commonly utilized insulated gate bipolar transistors (IGBTs) and metal oxide semiconductor field effect transistors (MOSFETs), which present power losses, on-state losses, and switching losses caused by temperature oscillations. Hence, the power losses are related to the command signals generated by the controller. In this sense, the BLDC motor drive controller design, frequently, does not take into account the power losses and the temperature oscillations, which cause the IGBT lifetime decrease or premature fail. In this chapter, a brushless DC motor drive is designed based on a fuzzy controller tuned with the particle swarm optimization algorithm, where the temperature oscillations and speed set points are considered in order to increase IGBT module lifetime. The validation of the proposed fuzzy-PSO controller is carried out by the co-simulation between LabVIEWTM and MultisimTM and finally analysis and conclusion of the work.
Author :Hazem Ali Publisher :Createspace Independent Publishing Platform ISBN 13 :9781727864793 Total Pages :270 pages Book Rating :4.8/5 (647 download)
Book Synopsis Swarm Intelligence to Robust Control Design by : Hazem Ali
Download or read book Swarm Intelligence to Robust Control Design written by Hazem Ali and published by Createspace Independent Publishing Platform. This book was released on 2018-10-13 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ultimate goal of this book is to design simplified structure and low order robust control algorithms for different dynamic systems with wide range of system parameters variation. These algorithms are based on QFT, H2 , H-infinity and interval tools which represent the most popular and well developed robust techniques. The swarm intelligence methods which adopt the collective behaviour of an organized group of animals, as they strive to survive are used to simplify the robust design procedure and obtain the optimal values of the controller parameters. These optimization methods will be used to find the optimal controllers subject to QFT, H2 , H-infinity and interval tools constraints. More specifically, the algorithms inspired by birds and ants which are the Particle Swarm Optimization (PSO) method and the Ant Colony Optimization (ACO) methods are used in this book.
Book Synopsis Design of Ga-Fuzzy Controller for Magnetic Levitation Using Fpg by : Basil Hamed
Download or read book Design of Ga-Fuzzy Controller for Magnetic Levitation Using Fpg written by Basil Hamed and published by LAP Lambert Academic Publishing. This book was released on 2011-10 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design of controllers for non- linear systems in industry is a complex and difficult task. The development of non-linear control techniques has been approaches in many different ways with varied results. One approach, which has shown promise for solving nonlinear control problems, is the use of fuzzy logic control. This book will discuss the Magnetic Levitation (Maglev) models as an example of nonlinear systems. It will also show the design of fuzzy logic controllers for this model to prove that the fuzzy controller can work properly with nonlinear system. Genetic Algorithm (GA) is used in this book as optimization method that optimizes the membership, output gain and inputs gain of the fuzzy controllers. Finally, fuzzy controller will be implemented using FPGA chip. The design will use a high-level programming language HDL for implementing the fuzzy logic controller using the Xfuzzy CAD tools to implement the fuzzy logic controller into HDL code. This book is designed for the professional and academic audience interested primarily in applications of fuzzy logic in engineering and technology.
Book Synopsis Modeling and Control of a Single-axis Magnetic Levitation System Using LabVIEW by : Rishabh Sinha
Download or read book Modeling and Control of a Single-axis Magnetic Levitation System Using LabVIEW written by Rishabh Sinha and published by . This book was released on 2005 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Particle Swarm Optimization Applied to the Design of a Nonlinear Control by :
Download or read book Particle Swarm Optimization Applied to the Design of a Nonlinear Control written by and published by . This book was released on 2006 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis LQR Controller Tuning by Using Particle Swarm Optimization by : Hagag M. Lamin Gabasa
Download or read book LQR Controller Tuning by Using Particle Swarm Optimization written by Hagag M. Lamin Gabasa and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Controller Design for a Tri-turbofan Airship System Based on Particle Swarm Optimization Algorithm & Neural Network Technology by : Ruting Jia
Download or read book Controller Design for a Tri-turbofan Airship System Based on Particle Swarm Optimization Algorithm & Neural Network Technology written by Ruting Jia and published by . This book was released on 2008 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deterministic Artificial Intelligence by : Timothy Sands
Download or read book Deterministic Artificial Intelligence written by Timothy Sands and published by BoD – Books on Demand. This book was released on 2020-05-27 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kirchhoff’s laws give a mathematical description of electromechanics. Similarly, translational motion mechanics obey Newton’s laws, while rotational motion mechanics comply with Euler’s moment equations, a set of three nonlinear, coupled differential equations. Nonlinearities complicate the mathematical treatment of the seemingly simple action of rotating, and these complications lead to a robust lineage of research culminating here with a text on the ability to make rigid bodies in rotation become self-aware, and even learn. This book is meant for basic scientifically inclined readers commencing with a first chapter on the basics of stochastic artificial intelligence to bridge readers to very advanced topics of deterministic artificial intelligence, espoused in the book with applications to both electromechanics (e.g. the forced van der Pol equation) and also motion mechanics (i.e. Euler’s moment equations). The reader will learn how to bestow self-awareness and express optimal learning methods for the self-aware object (e.g. robot) that require no tuning and no interaction with humans for autonomous operation. The topics learned from reading this text will prepare students and faculty to investigate interesting problems of mechanics. It is the fondest hope of the editor and authors that readers enjoy the book.
Book Synopsis Hard Disk Drive Servo Systems by : Ben M. Chen
Download or read book Hard Disk Drive Servo Systems written by Ben M. Chen and published by Springer Science & Business Media. This book was released on 2006-06-09 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Hard disk drive systems are ubiquitous in today’s computer systems and the technology is still evolving. There is a review of hard disk drive technology and construction in the early pages of this monograph that looks at the characteristics of the disks and there it can be read that: “bit density... continues to increase at an amazing rate”, “spindle speed... the move to faster and faster spindle speeds continue”, “form factors... the trend...is downward... to smaller and smaller drives”, “performance... factors are improving”, “redundant arrays of inexpensive disks... becoming increasingly common, and is now seen in consumer desktop machines”, “reliability... is improving slowly... it is very hard to improve the reliability of a product when it is changing rapidly” and finally “interfaces... continue to create new and improved standards... to match the increase in performance of the hard disks themselves”.
Book Synopsis Proceedings of the 4th International Conference on Electrical Engineering and Control Applications by : Sofiane Bououden
Download or read book Proceedings of the 4th International Conference on Electrical Engineering and Control Applications written by Sofiane Bououden and published by Springer Nature. This book was released on 2020-09-29 with total page 1257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers presented during the 4th International Conference on Electrical Engineering and Control Applications. It covers new control system models, troubleshooting tips and complex system requirements, such as increased speed, precision and remote capabilities. Additionally, the papers discuss not only the engineering aspects of signal processing and various practical issues in the broad field of information transmission, but also novel technologies for communication networks and modern antenna design. This book is intended for researchers, engineers and advanced postgraduate students in the fields of control and electrical engineering, computer science and signal processing, as well as mechanical and chemical engineering.
Author :Alexandre Sanfelice Bazanella Publisher :Springer Science & Business Media ISBN 13 :9400723008 Total Pages :222 pages Book Rating :4.4/5 (7 download)
Book Synopsis Data-Driven Controller Design by : Alexandre Sanfelice Bazanella
Download or read book Data-Driven Controller Design written by Alexandre Sanfelice Bazanella and published by Springer Science & Business Media. This book was released on 2011-11-16 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that have been presented in the literature since the late 1990’s. To the best knowledge of the author, these data-based design methods have never been collected in a single text, analyzed in depth or compared to each other, and this severely limits their widespread application. In this book these methods will be presented under a common theoretical framework, which fits also a large family of adaptive control methods: the MRAC (Model Reference Adaptive Control) methods. This common theoretical framework has been developed and presented very recently. The book is primarily intended for PhD students and researchers - senior or junior - in control systems. It should serve as teaching material for data-based and adaptive control courses at the graduate level, as well as for reference material for PhD theses. It should also be useful for advanced engineers willing to apply data-based design. As a matter of fact, the concepts in this book are being used, under the author’s supervision, for developing new software products in a automation company. The book will present simulation examples along the text. Practical applications of the concepts and methodologies will be presented in a specific chapter.
Book Synopsis Sensors and Signal Conditioning by : Ramón Pallás-Areny
Download or read book Sensors and Signal Conditioning written by Ramón Pallás-Areny and published by John Wiley & Sons. This book was released on 2012-11-07 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition . . . "A unique piece of work, a book for electronics engineering, in general, but well suited and excellently applicable also to biomedical engineering . . . I recommend it with no reservation, congratulating the authors for the job performed." -IEEE Engineering in Medicine & Biology "Describes a broad range of sensors in practical use and some circuit designs; copious information about electronic components is supplied, a matter of great value to electronic engineers. A large number of applications are supplied for each type of sensor described . . . This volume is of considerable importance."-Robotica In this new edition of their successful book, renowned authorities Ramon Pallàs-Areny and John Webster bring you up to speed on the latest advances in sensor technology, addressing both the explosive growth in the use of microsensors and improvements made in classical macrosensors. They continue to offer the only combined treatment for both sensors and the signal-conditioning circuits associated with them, following the discussion of a given sensor and its applications with signal-conditioning methods for this type of sensor. New and expanded coverage includes: * New sections on sensor materials and microsensor technology * Basic measurement methods and primary sensors for common physical quantities * A wide range of new sensors, from magnetoresistive sensors and SQUIDs to biosensors * The widely used velocity sensors, fiber-optic sensors, and chemical sensors * Variable CMOS oscillators and other digital and intelligent sensors * 68 worked-out examples and 103 end-of-chapter problems with annotated solutions
Book Synopsis Magnetic Bearings by : Gerhard Schweitzer
Download or read book Magnetic Bearings written by Gerhard Schweitzer and published by Springer Science & Business Media. This book was released on 2009-06-10 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compiling the expertise of nine pioneers of the field, Magnetic Bearings - Theory, Design, and Application to Rotating Machinery offers an encyclopedic study of this rapidly emerging field with a balanced blend of commercial and academic perspectives. Every element of the technology is examined in detail, beginning at the component level and proceeding through a thorough exposition of the design and performance of these systems. The book is organized in a logical fashion, starting with an overview of the technology and a survey of the range of applications. A background chapter then explains the central concepts of active magnetic bearings while avoiding a morass of technical details. From here, the reader continues to a meticulous, state-of-the-art exposition of the component technologies and the manner in which they are assembled to form the AMB/rotor system. These system models and performance objectives are then tied together through extensive discussions of control methods for both rigid and flexible rotors, including consideration of the problem of system dynamics identification. Supporting this, the issues of system reliability and fault management are discussed from several useful and complementary perspectives. At the end of the book, numerous special concepts and systems, including micro-scale bearings, self-bearing motors, and self-sensing bearings, are put forth as promising directions for new research and development. Newcomers to the field will find the material highly accessible while veteran practitioners will be impressed by the level of technical detail that emerges from a combination of sophisticated analysis and insights gleaned from many collective years of practical experience. An exhaustive, self-contained text on active magnetic bearing technology, this book should be a core reference for anyone seeking to understand or develop systems using magnetic bearings.
Book Synopsis Model-Based Predictive Control by : J.A. Rossiter
Download or read book Model-Based Predictive Control written by J.A. Rossiter and published by CRC Press. This book was released on 2017-07-12 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach. Until now, no book has addressed in detail all key issues in the field including apriori stability and robust stability results. Engineers and MPC researchers now have a volume that provides a complete overview of the theory and practice of MPC as it relates to process and control engineering. Model-Based Predictive Control, A Practical Approach, analyzes predictive control from its base mathematical foundation, but delivers the subject matter in a readable, intuitive style. The author writes in layman's terms, avoiding jargon and using a style that relies upon personal insight into practical applications. This detailed introduction to predictive control introduces basic MPC concepts and demonstrates how they are applied in the design and control of systems, experiments, and industrial processes. The text outlines how to model, provide robustness, handle constraints, ensure feasibility, and guarantee stability. It also details options in regard to algorithms, models, and complexity vs. performance issues.
Book Synopsis Sliding Mode Control Using MATLAB by : Jinkun Liu
Download or read book Sliding Mode Control Using MATLAB written by Jinkun Liu and published by Academic Press. This book was released on 2017-05-25 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sliding Mode Control Using MATLAB provides many sliding mode controller design examples, along with simulation examples and MATLAB® programs. Following the review of sliding mode control, the book includes sliding mode control for continuous systems, robust adaptive sliding mode control, sliding mode control for underactuated systems, backstepping, and dynamic surface sliding mode control, sliding mode control based on filter and observer, sliding mode control for discrete systems, fuzzy sliding mode control, neural network sliding mode control, and sliding mode control for robot manipulators. The contents of each chapter are independent, providing readers with information they can use for their own needs. It is suitable for the readers who work on mechanical and electronic engineering, electrical automation engineering, etc., and can also be used as a teaching reference for universities. Provides many sliding mode controller design examples to help readers solve their research and design problems Includes various, implementable, robust sliding mode control design solutions from engineering applications Provides the simulation examples and MATLAB programs for each sliding mode control algorithm