Convergence of PD-Type Iterative Learning Control of Nonlinear Discrete Systems and its Robustness

Abstract:

Abstract: For the control problem of nonlinear discrete systems, this paper describes the status of current research and analyzes the advantages and disadvantages of open-loop and closed-loop iterative learning controller. A class of nonlinear discrete systems will be extended to the general nonlinear discrete systems. To the general nonlinear discrete systems, a open-closed-loop PD-type iterative learning controller which based on current and last output error instead of last output error only is proposed. It makes use of information on system operation more fully and accurately. Besides, based on norm of λ and mathematical induction, its sufficient condition for convergence is given. In order to test its robustness, a simulation is done in the case of a persistent interference. Simulation results show that it is efficient.

• Periodical: Advanced Materials Research (Volumes 557-559)
• Pages: 2049-2053
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.557-559.2049
• Online since: July 2012
• Authors: Chang Liang Liu, Wan Gen Jia
• Keywords: Convergence, Iterative Learning Control, Nonlinear Discrete System

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