Research on Adaptive Fuzzy PID Synchronous Control Strategy of Double-Motor
Author(s) -
Biao Yu,
Hui Zhu,
Chi Xue
Publication year - 2011
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2011.05.04
Subject(s) - pid controller , computer science , control theory (sociology) , robustness (evolution) , matlab , fuzzy logic , control engineering , electronic speed control , control system , synchronous motor , control (management) , temperature control , engineering , artificial intelligence , biochemistry , chemistry , electrical engineering , gene , operating system
The double-motor synchronous control system is widely used in industrial field. Its performance plays an important role in production. Traditional PID controller parameters are difficult to tune when used in control system, as well as the control effect can not satisfy the requirement of producing process when the controller plant is complex non-linear system. In this paper, adaptive fuzzy PID which can tune the parameters on-line is introduced to apply in the double-motor synchronous control system. In MATLAB / SMULINK simulation environment, the speed of master motor is perfectly followed by slave motor, and high robustness and precision are obtained. The simulation results show that fuzzy logic PID control strategy has better performances than traditional controller.
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