电气传动2017，Vol.47Issue(11)：3-8,6.DOI:10.19457/j.1001-2095.20171101
基于DRNN-MRAS参数自整定的异步电机转速估计
Speed Estimation of Induction Motor Based on DRNN-MRAS Parameter Self-tuning
摘要
Abstract
The PI parameters set in advance under complex conditions can not meet the new operating status of the motor,then a speed estimator based on diagonal recurrent neural network(DRNN)PI parameter dynamic self-tuning was designed for this problem,and the PI parameters were dynamic self-tuning to improve system robustness and estimation accuracy. The principle and structure of speed estimation based on model reference adaptive system (MRAS)were analyzed,and the adaptive law of the estimation system was deduced by Popov hyperstability theory. On the basis of MRAS speed estimation,the PI parameters in MRAS speed estimation system were dynamically adjusted by DRNN,then the new speed estimation system based on DRNN-MRAS was obtained. Simulation and experimental results verify the effectiveness and practicability of the new DRNN-MRAS algorithm.关键词
异步电机/对角递归神经网络/模型参考自适应/参数自整定/转速估计Key words
induction motor/diagonal recurrent neural network(DRNN)/model reference adaptive/parameter self-tuning/speed estimation分类
信息技术与安全科学引用本文复制引用
于霜,储建华..基于DRNN-MRAS参数自整定的异步电机转速估计[J].电气传动,2017,47(11):3-8,6.基金项目
江苏省自然科学基金面上研究项目(BK20161229) （BK20161229）
江苏高校"青蓝工程"(2017[15])资助 （2017[15]）
