Design, implementation and evaluation of an optimal iterative learning control algorithm

نویسندگان

  • V. VITA
  • A. VITAS
  • G. E. CHATZARAKIS
چکیده

Iterative learning control (ILC) is used to control systems that operate in a repetitive mode, improving tracking accuracy of the control by transferring data from one repetition of a task, to the next. In this paper an optimal iterative learning algorithm for discrete linear systems is designed and implemented. The design and implementation that have been done using Matlab® 7 and Simulink are described in detail. The algorithm is applied on several representative discrete systems cases in order to be evaluated and to reveal its capabilities and limitations. Key-Words: Discrete linear systems; iterative learning control; Matlab® 7; simulation.

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تاریخ انتشار 2011