Real-time iterative learning control: design and applications

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. 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 INDICE: 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 aPiezo-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.

• ISBN: 978-1-84882-174-3
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 215
• Fecha Publicación: 01/03/2009
• Nº Volúmenes: 1
• Idioma: Inglés