Real-time Iterative Learning Control: Design and Applications by Jian-Xin Xu (En

The Nile on eBay   Real-time Iterative Learning Control by Jian-Xin Xu, Sanjib K. Panda, Tong Heng Lee

Key issues in ILC design and implementation in linear and nonlinear plants pervading mechatronics and batch processes are addressed, in particular: ILC design in the continuous- and discrete-time domains;

FORMATHardcover LANGUAGEEnglish CONDITIONBrand New Publisher Description

Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in linear and nonlinear plants pervading mechatronics and batch processes are addressed, in particular: ILC design in the continuous- and discrete-time domains; design in the frequency and time domains; design with problem-specific performance objectives including robustness and optimality; design in a modular approach by integration with other control techniques; and design by means of classical tools based on Bode plots and state space.

Notes

Provides the industry-based control engineer with a practical reference for designing and implementing iterative learning control systems in their own plants based on many practical examplesGives the academic researcher systematic formulation and necessary analysis for the solution of a variety of iterative learning control problems and gives an easy-to-access listing of open issues for further research

Back Cover

Iterative learning control (ILC) has been a major control design methodology for twenty years; numerous algorithms have been developed to solve real-time control problems, from MEMS to batch reactors, characterised by repetitive control operations. Real-time Iterative Learning Control demonstrates how the latest advances in ILC can be applied to a number of plants widely encountered in practice. The authors provide a hitherto lacking systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in the linear and nonlinear plants that pervade mechatronics and batch processes are addressed. In particular, the book discusses: * ILC design in the continuous- and discrete-time domains; * design in the frequency and time domains; * design with problem-specific performance objectives including robustness and optimality; * design by means of classical tools based on Bode plots and state space; and * iterative-learning-based parametric identification. Real-time Iterative Learning Control will interest control engineers looking for examples of how this important control technique can be applied to a variety of real-life problems. With its systematic formulation and analysis of different system properties and performance and its exposition of open problems, academics and graduate students working in control will find it a useful reference to the current status of ILC.

Table of Contents

to ILC: Concepts, Schematics, and Implementation.- Robust Optimal ILC Design for Precision Servo: Application to an XY Table.- ILC for Precision Servo with Input Non-linearities: Application to a Piezo Actuator.- ILC for Process Temperature Control: Application to a Water-heating Plant.- ILC with Robust Smith Compensator: Application to a Furnace Reactor.- Plug-in ILC Design for Electrical Drives: Application to a PM Synchronous Motor.- ILC for Electrical Drives: Application to a Switched Reluctance Motor.- Optimal Tuning of PID Controllers Using Iterative Learning Approach.- Calibration of Micro-robot Inverse Kinematics Using Iterative Learning Approach.- Conclusion.

Long Description

ILC has been a major control design methodology for twenty years; numerous algorithms have been developed to solve real-time control problems, from MEMS to batch reactors, characterised by repetitive control operations. Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The authors provide a hitherto lacking systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in the linear and nonlinear plants that pervade mechatronics and batch processes are addressed. In particular, the book discusses: * ILC design in the continuous- and discrete-time domains; * design in the frequency and time domains; * design with problem-specific performance objectives including robustness and optimality; * design in a modular approach by integration with other control techniques; and * design by means of classical tools based on Bode plots and state space. Real-time Iterative Learning Control will interest control engineers looking for examples of how this important control technique can be applied to a variety of real-life problems. With its systematic formulation and analysis of different system properties and performance and its exposition of open problems, academics and graduate students working in control will find it a useful reference to the current status of ILC.

Feature

Provides the industry-based control engineer with a practical reference for designing and implementing iterative learning control systems in their own plants based on many practical examples Gives the academic researcher systematic formulation and necessary analysis for the solution of a variety of iterative learning control problems and gives an easy-to-access listing of open issues for further research Includes supplementary material: sn.pub/extras

Details ISBN1848821743 Author Tong Heng Lee Short Title REAL-TIME ITERATIVE LEARNING C Series Advances in Industrial Control Language English ISBN-10 1848821743 ISBN-13 9781848821743 Media Book Format Hardcover DEWEY 629.8 Imprint Springer London Ltd Place of Publication England Country of Publication United Kingdom Subtitle Design and Applications Edition 2009th DOI 10.1007/978-1-84882-175-0 AU Release Date 2008-12-23 NZ Release Date 2008-12-23 UK Release Date 2008-12-23 Pages 194 Publisher Springer London Ltd Year 2008 Publication Date 2008-12-23 Alternative 9781849968249 Illustrations XVI, 194 p. Audience Professional & Vocational We've got this

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