会议专题

Research on fuzzy direct torque control system based on improved grey model prediction

  In order to increase the accuracy and real-time of grey prediction fuzzy direct torque control system,an improved grey prediction fuzzy direct torque control method was advanced.The equal-dimensional new information model was used to construct the new grey prediction model.The position angle of motor stator flux was divided into sectors,by which the simplified fuzzy algorithm was obtained.The simulation results show that the improved method can greatly overcome the shortcomings caused by the original method,such as the overlarge dimensions of original time sequence and the decrease of effective information amount due to the lasting of time.The calculation quantity in prediction process is reduced.The precision of prediction and the real-time of fuzzy control system are increased.The instability of stator flux is lowered and the speed respond of motor is meliorated.

equal-dimensional new information prediction grey model prediction fuzzy control direct torque control

ZHAO Wei WANG Qiang WANG Luyan

Engineering Institute of Corps of Engineers,PLA Univ.of Sci.& Tech.Nanjing 210007,China

国际会议

2012 2nd International conference on Machinery Electronics and Control Engineering (2012年第二届国际机械电子与控制工程会议(ICMECE 2012))

济南

英文

488-493

2012-12-29(万方平台首次上网日期,不代表论文的发表时间)