The Research of Double-fed Motor Based on The Neural Network Inverse System Control Strategy and Its Simulation

摘要：

In this pape r, base don ve ctor contr ol sy stem of double-fed motor, the artificial ne ural netw ork( ANN) inverse control strategy of double -fed motor control is discussed. The double-fed motor mathematical model with stator flux oriented in th e s ynchronous MT refe rence (ram e is given, an d th e reversibility of the system th rough Interact or Algo rithm is confirmed, thus the artificia l neural ne tvvork inve rse s ystem model of motor is c ontributed, then the model is applied to double-fed spe ed-regulating s ystem. At last, the double -fed motor control str ategy based on ar tificial ne ural ne twork inverse model is s imulated on MATLAB. Th e s imulation results shows that applying the neural network inverse system control strategy to double-fed motor is feasible.

关键词： douhle-fed motor artificial neural network(ANN) inverse system decoupling control

作者: Dongchu Liao Wei Bie Wenjun Ou Dawei Xiong Zhilin Yang

作者单位: Department of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, 430068, China

会议类型: 国际会议

会议名称: 2011 IEEE 2nd International Conference on Computing，Control and Industrial Engineering(CCIE 2011)(第二届计算、控制与工业工程国际会议)

会议地点: 武汉

会议语种:英文

页码: 279-283

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）