Adaptive Fuzzy Iterative Learning Control for Systems with Saturated Inputs and Unknown Control Directions

Qing-Yuan Xu, Wan-Ying He, Chuang-Tao Zheng, Peng Xu (), Yun-Shan Wei and Kai Wan
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Qing-Yuan Xu: School of Electronic and Information, Guangdong Polytechnic Normal University, Guangzhou 510665, China
Wan-Ying He: School of Electronic and Information, Guangdong Polytechnic Normal University, Guangzhou 510665, China
Chuang-Tao Zheng: School of Electronic and Information, Guangdong Polytechnic Normal University, Guangzhou 510665, China
Peng Xu: Software Quality Engineering Center, China Electronic Product Reliability and Environmental Testing Research Institute, Guangzhou 511370, China
Yun-Shan Wei: School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China
Kai Wan: School of Electronic Information and Electrical Engineering, Huizhou University, Huizhou 516007, China

Mathematics, 2022, vol. 10, issue 19, 1-17

Abstract: An adaptive fuzzy iterative learning control (ILC) algorithm is designed for the iterative variable reference trajectory problem of nonlinear discrete-time systems with input saturations and unknown control directions. Firstly, an adaptive fuzzy iterative learning controller is constructed by combining with the fuzzy logic system (FLS), which can compensate the loss caused by input saturation. Then, the discrete Nussbaum gain technique is adopted along the iteration axis, which can be embedded to the learning control method to identify the control direction of the system. Finally, based on the nonincreasing Lyapunov-like function, it is proven that the adaptive iterative learning controller can converge asymptotically when the number of iterations tends to infinity, and the system signals always remain bounded in the learning process. A simulation example verifies the feasibility and effectiveness of the learning control method.

Keywords: adaptive fuzzy iterative learning control; saturated input; unknown control direction; discrete Nussbaum gain; fuzzy logic system (FLS) (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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