Improved MM-MADRL Algorithm for Automatic Tuning of Multiparameter Control Systems

Journal article

Authors/Editors

WUDHICHAI ASSAWINCHAICHOTE

Strategic Research Themes

Other (Strategic Research Themes)

Publication Details

Author list: Zhang, Hongming; Assawinchaichote, Wudhichai; Shi, Yan;

Publisher: Institute of Electrical and Electronics Engineers

Publication year: 2022

Volume number: 10

Start page: 64729

End page: 64740

Number of pages: 12

ISSN: 2169-3536

eISSN: 2169-3536

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132737241&doi=10.1109%2fACCESS.2022.3184002&partnerID=40&md5=6cbd10df3cd6ac56d28bcfad7c2fafb6

Languages: English-Great Britain (EN-GB)

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Abstract

Control systems are widely used in our lives, and good control can be achieved by obtaining the optimal tuning parameters of the control system. The number of parameters that need to be adjusted for different control systems varies. With an increase in tuning parameters, the difficulty of tuning grows. Therefore, this paper proposes an improved monkey multiagent DRL (IMM-MADRL) algorithm and selects 3 test functions to test the setting environment of 2-7 parameters. Thus, these parameters are adjusted. The IMM-MADRL algorithm is based on the modified monkey-multiagent DRL (MM-MADRL) algorithm, and its initialization method, position update method and somersault operation are further improved so that it can perform good parameter tuning for a control system with many parameters. The simulation part of this paper proves the advantage of the IMM-MADRL algorithm in a multiparameter control system. © 2013 IEEE.

Keywords

improved modified monkey-multiagent DRL (IMM-MADRL) algorithm, Incomplete differential PID controller