Research on Intelligent Algorithm of the AC Motor Speed Regulation System Based on the Neural Network

One of the most challenging control problems has been speed an alternating current (AC) motor due to highly nonlinear characteristics and many uncertain parameters including magnetic flux, temperature-dependent rotor resistance, variable load. In this study, intelligent algorithm is proposed for AC using a PID controller-based backpropagation neural network (BP-NN). The momentum factor adaptive learning rate introduced improve PID-based BP-NN. A simulation model representing complete regulation system established tested MATLAB program. results show that strategy strong adaptability robustness when controlled object unknown or change. Compared with other parameter adjustment methods, potential intelligently regulate motor.