关键词: 无刷直流电机, 进化神经网络, 遗传算法, BP网络, 速度控制

Abstract: Focusing on some disadvantages in standard BP algorithm, such as low convergence rate, easily falling into local minimum point and weak global search capability, Genetic algorithm is used to optimal the connection weight of BP Algorithm in this paper, and construct a GA-BP algorithm of evolutionary neural network, and the algorithm is applied to the control of BLDCM speed adjusting system. The results of simulations shown: contrast to the traditional PI control system it has the advantage of no surplus regulation. Contrast to BP algorithm, it has a high convergence rate and not easily falling into local minimum point.

Key words: BLDCM, Evolutionary Neural Network, Genetic Algorithm, BP Network, Speed Control