Real-time Iterative Learning Control [electronic resource] : Design and Applications /
Xu, Jian-Xin.author.
Panda, Sanjib K.author.(orcid)0000-0002-3675-0466https://orcid.org/0000-0002-3675-0466aut
Lee, Tong Heng.author.
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.
Description based upon print version of record.
Includes bibliographical references and index.
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.
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.
Control engineering.
Chemical engineering.
Manufactures.
Engineering design.
Electronics.
Microelectronics.
Control and Systems Theory.
Industrial Chemistry/Chemical Engineering.
Manufacturing, Machines, Tools, Processes.
Engineering Design.
Electronics and Microelectronics, Instrumentation.