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LIU Jinkun
School of Automation Science
& Electrical Engineering,
Beihang University,
Beijing 100083, China
HE Yuzhu
Department of System Engineering
of Engineering Technology,
Beihang University,
Beijing 100083, China
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FUZZY GLOBAL SLIDING MODE CONTROL
BASED ON GENETIC ALGORITHM AND ITS APPLICATION FOR FLIGHT
SIMULATOR SERVO SYSTEM*
Abstract:
To alleviate the chattering problem, a new type of fuzzy global sliding mode controller (FGSMC) is presented. In this controller, the switching gain is estimated by fuzzy logic system based on the reachable conditions of sliding mode controller (SMC), and genetic algorithm (GA) is used to optimize scaling factor of the switching gain, thus the switch chattering of SMC can be alleviated. Moreover, global sliding mode is realized by designing an exponential dynamic sliding surface. Simulation and real-time application for flight simulator servo system with Lugre friction are given to indicate that the proposed controller can guarantee high robust performance all the time and can alleviate chattering phenomenon effectively.
Key words:
Sliding mode control Chattering free Fuzzy control Genetic algorithm
Flight simulator
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