Real-time Iterative Learning Control
Design and Applications
(Sprache: Englisch)
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...
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Klappentext zu „Real-time Iterative Learning Control “
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.
Inhaltsverzeichnis zu „Real-time Iterative Learning Control “
- 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
Bibliographische Angaben
- Autoren: Jian-Xin Xu , Sanjib K. Panda , Tong Heng Lee
- 2008, XVI, 194 Seiten, Masse: 16,4 x 24,3 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1848821743
- ISBN-13: 9781848821743
Sprache:
Englisch
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