Real-Time Iterative Learning Control

by Xu, Jian-Xin; Panda, Sanjib Kumar; Lee, Tong H.

• ISBN13: 9781848821743
• ISBN10: 1848821743
• Format: Hardcover
• Copyright: 2008-01-07
• Publisher: Springer Verlag

Summary

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.

Table of Contents

Introduction.- Introduction to ILC: Concepts, Schematics and Implementation.- Robust Optimal ILC Design for Precision Servo: Application to an X'Y Table.- ILC for Precision Servo with Input Nonlinearities: 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 PM Synchronous Motor.- ILC for Electrical Drives: Application to a Switched Reluctance Motor.- Optimal Tuning of PID Controllers Using Iterative Learning Approach.- Calibration of Microrobot Inverse Kinematics Using Iterative Learning Approach.