Author: Mourad Boufadene
Publisher: CRC Press
ISBN: 0429781342
Category : Computers
Languages : en
Pages : 41
Get Book Here
Book Description
The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development of control systems design. MATLAB is considered the dominant software platforms for linear and nonlinear control systems analysis. This book provides an easy way to learn nonlinear control systems such as feedback linearization technique and Sliding mode control (Structure variable control) which are one of the most used techniques in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such techniques; and since they are too difficult for them to handle such nonlinear controllers especially for a more complicated systems such as induction motor, satellite, and vehicles dynamical models. Thus, this document it is an excellent resource for learning the principle of feedback linearization and sliding mode techniques in an easy and simple way: Provides a briefs description of the feedback linearization and sliding mode control strategies Includes a simple method on how to determine the right and appropriate controller (P-PI-PID) for feedback linearization control strategy. A Symbolic MATLAB Based function for finding the feedback linearization and sliding mode controllers are developed and tested using several examples. A simple method for finding the approximate sliding mode controller parameters is introduced Where the program used to construct the nonlinear controller uses symbolic computations; such that the user should provide the program with the necessary functions f(x), g(x) and h(x) using the symbolic library.
Author: Mourad Boufadene
Publisher: Createspace Independent Publishing Platform
ISBN: 9781976136313
Category :
Languages : en
Pages : 36
Get Book Here
Book Description
This text provides an easy way to learn feedback linearization technique which is one of the most used technique in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such technique; and since it is too difficult for them to handle such nonlinear controller especially for those which are more complicated such as induction motor, satellite, and vehicles dynamical models. Thus, this document it is an excellent resource for learning the principle of feedback linearization technique in the easy and simple way: 1.Provides a briefs description of the feedback linearization technique 2.Includes a simple method on how to determine the right and appropriate controller (P-PI-PID) 3.Provides a Matlab symbolic based program that can solve the Lie derivative of any nonlinear dynamical system that could be written in a special form 4.A Matlab symbolic script that can provide the users with the feedback linearization controller The relative degree of the system which can be found using the provided Matlab code; can be used to determine the degree of the Sliding Mode Surface; which is a very important scalar for those who are working with Variable Structure Control
Author: Michael J. Grimble
Publisher: Springer Nature
ISBN: 1447174577
Category : Technology & Engineering
Languages : en
Pages : 778
Get Book Here
Book Description
Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.
Author: Oded Yaniv
Publisher: Springer Science & Business Media
ISBN: 147576331X
Category : Technology & Engineering
Languages : en
Pages : 382
Get Book Here
Book Description
Quantitative Feedback Design of Linear and Nonlinear Control Systems is a self-contained book dealing with the theory and practice of Quantitative Feedback Theory (QFT). The author presents feedback synthesis techniques for single-input single-output, multi-input multi-output linear time-invariant and nonlinear plants based on the QFT method. Included are design details and graphs which do not appear in the literature, which will enable engineers and researchers to understand QFT in greater depth. Engineers will be able to apply QFT and the design techniques to many applications, such as flight and chemical plant control, robotics, space, vehicle and military industries, and numerous other uses. All of the examples were implemented using Matlab® Version 5.3; the script file can be found at the author's Web site. QFT results in efficient designs because it synthesizes a controller for the exact amount of plant uncertainty, disturbances and required specifications. Quantitative Feedback Design of Linear and Nonlinear Control Systems is a pioneering work that illuminates QFT, making the theory - and practice - come alive.
Author: Mourad Boufadene
Publisher: Createspace Independent Publishing Platform
ISBN: 9781979233361
Category :
Languages : en
Pages : 36
Get Book Here
Book Description
This text provides an easy way to learn feedback linearization technique which is one of the most used technique in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such technique; and since it is too difficult for them to handle such nonlinear controller especially for those which are more complicated such as induction motor, satellite, and vehicles dynamical models. Thus, this document it is an excellent resource for learning the principle of feedback linearization technique in the easy and simple way: 1. Provides a briefs description of the feedback linearization technique 2. Includes a simple method on how to determine the right and appropriate controller (P-PI-PID) 3. Provides a Matlab symbolic based program that can solve the Lie derivative of any nonlinear dynamical system that could be written in a special form 4. A Matlab symbolic script that can provide the users with the feedback linearization controller The relative degree of the system which can be found using the provided Matlab code; can be used to determine the degree of the Sliding Mode Surface; which is a very important scalar for those who are working with Variable Structure Control There are many examples used in the last chapter with a modified Matlab program such as: 1. Aircraft dynamical model is used in the case of single input single output linear systems 2. Induction motor dynamical model is used to construct the nonlinear controller for the case of multi-input multi-output nonlinear systems Where the program used to construct the nonlinear controller uses symbolic computations; such that the user should provide the program with the necessary functions f(x), g(x) and h(x) using the symbolic library. Note: Make sure the function syms is existed on your Matlab by type help sysm on Matlab
Author: Mourad Boufadene
Publisher: CRC Press
ISBN: 0429781350
Category : Computers
Languages : en
Pages : 58
Get Book Here
Book Description
The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development of control systems design. MATLAB is considered the dominant software platforms for linear and nonlinear control systems analysis. This book provides an easy way to learn nonlinear control systems such as feedback linearization technique and Sliding mode control (Structure variable control) which are one of the most used techniques in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such techniques; and since they are too difficult for them to handle such nonlinear controllers especially for a more complicated systems such as induction motor, satellite, and vehicles dynamical models. Thus, this document it is an excellent resource for learning the principle of feedback linearization and sliding mode techniques in an easy and simple way: Provides a briefs description of the feedback linearization and sliding mode control strategies Includes a simple method on how to determine the right and appropriate controller (P-PI-PID) for feedback linearization control strategy. A Symbolic MATLAB Based function for finding the feedback linearization and sliding mode controllers are developed and tested using several examples. A simple method for finding the approximate sliding mode controller parameters is introduced Where the program used to construct the nonlinear controller uses symbolic computations; such that the user should provide the program with the necessary functions f(x), g(x) and h(x) using the symbolic library.
Author: Hassan K. Khalil
Publisher: Prentice Hall
ISBN: 9780133499261
Category : Nonlinear theories
Languages : en
Pages : 0
Get Book Here
Book Description
For a first course on nonlinear control that can be taught in one semester ¿ This book emerges from the award-winning book, Nonlinear Systems, but has a distinctly different mission and¿organization. While Nonlinear Systems was intended as a reference and a text on nonlinear system analysis and its application to control, this streamlined book is intended as a text for a first course on nonlinear control. In Nonlinear Control, author Hassan K. Khalil employs a writing style that is intended to make the book accessible to a wider audience without compromising the rigor of the presentation. ¿ Teaching and Learning Experience This program will provide a better teaching and learning experience-for you and your students. It will help: Provide an Accessible Approach to Nonlinear Control: This streamlined book is intended as a text for a first course on nonlinear control that can be taught in one semester. Support Learning: Over 250 end-of-chapter exercises give students plenty of opportunities to put theory into action.
Author: Boris J. Lurie
Publisher: CRC Press
ISBN: 1351011839
Category : Science
Languages : en
Pages : 630
Get Book Here
Book Description
Classical Feedback Control with Nonlinear Multi-Loop Systems describes the design of high-performance feedback control systems, emphasizing the frequency-domain approach widely used in practical engineering. It presents design methods for high-order nonlinear single- and multi-loop controllers with efficient analog and digital implementations. Bode integrals are employed to estimate the available system performance and to determine the ideal frequency responses that maximize the disturbance rejection and feedback bandwidth. Nonlinear dynamic compensators provide global stability and improve transient responses. This book serves as a unique text for an advanced course in control system engineering, and as a valuable reference for practicing engineers competing in today’s industrial environment.
Author: Sundarapandian Vaidyanathan
Publisher: Springer
ISBN: 3319301691
Category : Technology & Engineering
Languages : en
Pages : 679
Get Book Here
Book Description
The book reports on the latest advances and applications of nonlinear control systems. It consists of 30 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of nonlinear control systems such as robotics, nonlinear circuits, power systems, memristors, underwater vehicles, chemical processes, observer design, output regulation, backstepping control, sliding mode control, time-delayed control, variables structure control, robust adaptive control, fuzzy logic control, chaos, hyperchaos, jerk systems, hyperjerk systems, chaos control, chaos synchronization, etc. Special importance was given to chapters offering practical solutions, modeling and novel control methods for the recent research problems in nonlinear control systems. This book will serve as a reference book for graduate students and researchers with a basic knowledge of electrical and control systems engineering. The resulting design procedures on the nonlinear control systems are emphasized using MATLAB software.
Author: Amir Nassirharand
Publisher: Springer Science & Business Media
ISBN: 144712149X
Category : Technology & Engineering
Languages : en
Pages : 189
Get Book Here
Book Description
A systematic computer-aided approach provides a versatile setting for the control engineer to overcome the complications of controller design for highly nonlinear systems. Computer-aided Nonlinear Control System Design provides such an approach based on the use of describing functions. The text deals with a large class of nonlinear systems without restrictions on the system order, the number of inputs and/or outputs or the number, type or arrangement of nonlinear terms. The strongly software-oriented methods detailed facilitate fulfillment of tight performance requirements and help the designer to think in purely nonlinear terms, avoiding the expedient of linearization which can impose substantial and unrealistic model limitations and drive up the cost of the final product. Design procedures are presented in a step-by-step algorithmic format each step being a functional unit with outputs that drive the other steps. This procedure may be easily implemented on a digital computer with example problems from mechatronic and aerospace design being used to demonstrate the techniques discussed. The author’s commercial MATLAB®-based environment, available separately from insert URL here, can be used to create simulations showing the results of using the computer-aided control system design ideas characterized in the text. Academic researchers and graduate students studying nonlinear control systems and control engineers dealing with nonlinear plant, particularly mechatronic or aerospace systems will find Computer-aided Nonlinear Control System Design to be of great practical assistance adding to their toolbox of techniques for dealing with system nonlinearities. A basic knowledge of calculus, nonlinear analysis and software engineering will enable the reader to get the best from this book.
