Speed Sensorless IM Control System Based on MRAS and NN Flux Observers
Many electronic drivers for the induction motor control are based on sensorless technologies. This paper proposes a novel hybrid motion sensorless control system to solve the low speed problems using MRAS and NN estimation scheme which is based on rotor flux. A multilayer feedforward artificial neural network is proposed for rotor flux estimation which is more robust to noise and stator resistance variation and does not have dc-drift problems which are usually associated with these adaptive schemes. A comparison between the performance of the neural network based strategy and conventional scheme is carried out. Simulation results are also presented to validate the proposed approach.
vector control speed-sensorless MRAS neural network
Li Yi Han Mei
Industrial Engineering Training CentreShanghai University of Engineering ScienceShanghai, China Pearl River College Tianjin University of Finance and Economics Tianjin, China
国际会议
成都
英文
1-5
2010-08-20（万方平台首次上网日期，不代表论文的发表时间）