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Research on Three-phase Asynchronous Motor Speed Control System Based on PID Neural Network

Author: ZhangJinChao
Tutor: RenYanShuo
School: Northeastern University
Course: Control Theory and Control Engineering
Keywords: PID Neural Network AC variable speed Inverse system control Three-phase induction motor
CLC: TM346
Type: Master's thesis
Year: 2008
Downloads: 181
Quote: 0
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Abstract


Vector control technology belongs to the field of AC variable speed , high - performance frequency control technology depth research in the field , and has been widely used for its excellent performance . However , the rotor flux calculation accuracy by easily changing rotor resistance affect the accuracy of the orientation of the rotor flux angle accuracy . Lack of vector control technology , many researchers have been improved in many ways . The emergence of artificial neural network control , intelligent control method provides an effective control method for AC variable speed system performance . Intelligent control and vector control method combine to become a research focus of domestic and international electrical transmission workers , but not to large-scale practical extent , the neural network control method and the traditional method of controlling AC speed control system applied to combine is in the research stage. Therefore , research in these areas is of great significance . PID neural network is a dynamic neural network , has a simple structure and stability of the system , to overcome the shortcomings of poor stability and design complexity of traditional neural network . In this paper, the PID neural network control method introduced AC drive system , and combined with conventional control methods attempt to improve the dynamic performance and robustness of the system to the new control method . Papers on the basis of in -depth analysis of the principle of PID neural network PID neural network control algorithm is applied to study the induction motor speed control and vector control combined to better design performance speed control system . Neural network is applied to the practicality of the automatic control system , designed to study two neural network control strategy : One is the direct application of SPIDNN as speed controller , the formation of an adaptive speed control system ; Second is MPIDNN neural network to build dynamic inverse system for AC induction motors , three-phase induction motor speed control system of decoupling and linearization . Elaborate control principles and algorithms based on MATLAB / Simulink simulation tools platform with interactive features , its simulation study , the simulation results show that adding the PID neural network control system has better control effect .

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CLC: > Industrial Technology > Electrotechnical > Motor > AC motor > Induction motor
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