Open AccessResearch on cooperative control strategy of multi-motor system based on fuzzy inference
Author(s) -
Chunjin Hang,
Yuegang Tan,
Ruiya Li
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2187/1/012002
Subject(s) - control theory (sociology) , synchronization (alternating current) , computer science , fuzzy control system , control engineering , control (management) , controller (irrigation) , control system , fuzzy logic , tracking error , pid controller , motor control , engineering , artificial intelligence , temperature control , neuroscience , biology , computer network , agronomy , channel (broadcasting) , electrical engineering
General distributed multi-motor control system has a low synchronization performance and a poor coordination control accuracy. In order to improve the deficiencies, the fuzzy control method is used. Firstly, the fuzzy PID controller is designed to improve the control accuracy of a single motor in the control system; Then, aiming at the shortcomings of the traditional deviation coupling structure, an adjacent deviation coupling control strategy based on fuzzy inference and a speed compensator are designed to improve the synchronization performance of the whole control system. The simulation results show that the tracking error of single motor and the synchronization error between motors are greatly reduced.