ADAPTIVE PID-LIKE CONTROL USING BROAD LEARNING SYSTEM FOR NONLINEAR DYNAMIC SYSTEMS

Authors

Ching-Chih Tsai, Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan.Follow
Chun-Chieh Chan, Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan.
Chien-Cheng Yu, Department of Electronic Engineering, Hsiuping University of Science and Technology, Taichung, Taiwan.
Hung-Sheng Chen, Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan
Guo-Shun Hung, Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan

Abstract

This paper presents a new learning control structure using broad learning system (BLS) for adaptive PID-like control of unknown digital nonlinear dynamic systems with time delays. The proposed control method, abbreviated as BLS-APIDLC, is novel in combining BLS and model predictive control to develop a new PID-like control law for high-performance setpoint tracking control and disturbance rejection. Comparative simulations on two renowned nonlinear digital time-delay systems are well used to show the effectiveness and superiority of the proposed method by comparing to four existing methods. I

Recommended Citation

Tsai, Ching-Chih; Chan, Chun-Chieh; Yu, Chien-Cheng; Chen, Hung-Sheng; and Hung, Guo-Shun (2020) "ADAPTIVE PID-LIKE CONTROL USING BROAD LEARNING SYSTEM FOR NONLINEAR DYNAMIC SYSTEMS," Journal of Marine Science and Technology: Vol. 28: Iss. 5, Article 5.
DOI: 10.6119/JMST.202010_28(5).0005
Available at: https://jmstt.ntou.edu.tw/journal/vol28/iss5/5