Researching And Designing Of PID-Control Brushless DC Motor Drives Based On Artificial-Neural-Network

With the expectation to play a positive role in the development of Artificial Neural Network-based Control and Brushless DC Motor (BLDCM) Drives, this paper researches and designs a PID-Control Brushless DC Motor Drives based on Artificial Neural Network.To deal with the shortcomings of traditional BP neural network such as lower constringency speed, local minimum and not stabilization in studying, Fuzzy Control is introduced to achieve self-adjustive learning rate, which results in the effective improvement in traditional BP network.To enhance the performance of brushless DC motor drives, traditional PID control is combined organically with the Neural Network in this paper, which structured the single-neural PID controller and the BP-network-based PID controller in order to cope with shortcomings of traditional PID control. Simulation results indicate that two improved PID control mentioned above are better than traditional one.At the basis of theoretic analysis and simulation research this paper designs an Intel 80C196KC-cored BLDCM direct digital control system based on single-neural & self-adaptive PID control arithmetic. Meanwhile, studying through experiments of the system, for confirmation, is done.