The Application of PSO-BP Neural Network PID Controller in Variable Frequency Speed Regulation System

Abstract:

Variable frequency speed control system hold good stability,more efficient,more energy conservation etc, so it has been widely used in the industrial areas,but the control strategy of traditional was difficult to achieve the desired control effect.This paper adopt particle swarm algorithm and BP neural network to construct the PID controller of PSO-BP neural network , the M-Files of PSO-BP neural network PID based on MATLAB through S-Function, and the mode of PSO-BP neural network PID variable frequency speed control system was established in SIMULINK platform.Simulation results show that the controller hold well robustness, follow and stability,and the dynamic characteristics of the original system was improved, the application value of this method in the variable frequency speed control system was proved.

• Periodical: Applied Mechanics and Materials (Volumes 599-601)
• Pages: 1090-1093
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.599-601.1090
• Online since: August 2014
• Authors: Chun Hua Li, Shao Xiong Xu*, Yang Xie, Jie Zhao
• Keywords: BP Neural Network (BPNN), Particle Swarm, Variable Frequency Speed Regulation Control System

References

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