Study on Dahlin algorithm of Brushless DC motor based on Neural Network
Brushless DC motor has the advantages of simple structure, reliable operation, convenient maintenance, high efficiency, no excitation loss and good speed regulation performance. Dahlin algorithm is to find a reasonable digital regulator D(z), which can make the closed-loop transfer function of the system is equivalent to a combination of an inertia link and a delay link, to achieve a good control effect.Brushless DC motor is a multi variable, strongly coupled nonlinear system, and the fixed parameters of Dahlin regulator can not get ideal control performance index. In this paper, as the control object, the brushless DC motor is based on the BP neural network, and the Dahlin controller based on neural network for brushless DC motor is designed.
brushless DC motor Dahlin control neural network
ZILONG HUANG DAN WANG LELE XI YANKAI SHEN
School of electrical engineering ,Hebei University of Science and Technology, Shijiazhuang, China School of electrical engineering,Hebei University of Science and Technology, Shijiazhuang, China
国际会议
重庆
英文
715-720
2015-12-18（万方平台首次上网日期，不代表论文的发表时间）