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Design And Research On AC Servo System Controller

Posted on:2015-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y B SunFull Text:PDF
GTID:2268330425493639Subject:Control engineering
Abstract/Summary:PDF Full Text Request
This paper deals with the design and study for the AC servo system controller, using a variety of control strategies. Research mainly around the following three aspects:Firstly, there is a large number of access under the premise of knowledge about the AC servo system modeling, combined with knowledge of physics and control theory learned knowledge by myself, to establish a model of AC servo system. Secondly, the AC servo system model is designed a variety of controllers, not only designed the classic intelligent control:PID controller based on genetic algorithms and adaptive fuzzy PID controller, the most important designed a variety of fractional controllers, including fractional integral controller (FOPI controller and FO[PI] controller), fractional differential controller (FOPD controller and FO[PD] controller) and fractional order PID control devices.Finally, through a variety of AC servo system controllers are compared, drawing the appropriate conclusions, the classic intelligent control:the PID controller based on genetic algorithm is significantly better than the adaptive fuzzy PID controller; Fractional integral controller comparison, FOPI controller integrated performance superior to FO[PI] controller; fractional differential controller comparison, FO[PD] controller integrated performance superior to FOPD controller; fractional order controller compares, FOPID controller and FO[PD] controller integrated performance superior to FOPI controller; PID controller compared, fractional order PID controller is better than the PID controller based on genetic algorithm and adaptive fuzzy PID controller, and ultimately concluded:FOPID controller and FO[PD] controller optimum overall performance.
Keywords/Search Tags:AC servo system, fractional order PID controller, adaptive fuzzy PID controller, PID controller based on genetic algorithm
PDF Full Text Request
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