Jian-Xin Xu, Sanjib K. Panda, Tong Heng Lee

Real-Time Iterative Learning Control

Design and Applications

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Advances in Industrial Control
• Verlag: Springer / Springer London / Springer, Berlin
• Artikelnr. des Verlages: 12193370, 978-1-84882-174-3
• 2009 edition
• Seitenzahl: 194
• Erscheinungstermin: 23. Dezember 2008
• Englisch
• Abmessung: 243mm x 164mm x 22mm
• Gewicht: 476g
• ISBN-13: 9781848821743
• ISBN-10: 1848821743
• Artikelnr.: 25460435

Inhaltsangabe

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.