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The Study On Speed Regulating Of Servo System Based On The Improved Single Neuron PID

Posted on:2014-02-01Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhouFull Text:PDF
GTID:2248330395499664Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of relevant technologies,AC servo system has already become a research hot spot,especially when high precision and performance are needed.Because of high performance in permanent magnetic materials,the study of PMSM servo system research is achieving more attentions.Firstly,in this paper the structure、working principle and vector control technology were analyzed,on this base the mathematical model of PMSM was illustrated.Then the Space Vector Pulse Width Modulation(SVPWM) was detailed.Secondly,since the disadvantages of traditional PID controlling the PMSM,single neuron control theory was applied to the traditional PID controller so as to make up a single neuron adaptive PID controller.And the single neuron algorithm was improved which made its adjusting ability stronger.Establish the system model in MATLAB/Simulink environment.The simulation results show that the improved single neuron adaptive PID controller has a simple structure,strong self-learning ability.The adaptive ability and control performance are superior to the traditional PID control.Then,the design of the system control circuit part,power drive unit,current detection circuit and speed detection circuit was accomplished based upon TI’s exclusive DSP (TMS320F2812) for motor control.The author finished the compiling and debugging of the program under the CCS3.3environment,such as the main program and timer interrupt,SVPWM algorithm,speed and position detection and AD conversion of current and so on.We got the exact PWM waveform after running the program.Finally,do a further research experiment about PMSM servo speed control system.It proves that the design is reliable and accurate.
Keywords/Search Tags:TMS320F2812DSP, PMSM, Vector Control, Single Neuron PID, SVPWM
PDF Full Text Request
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