摘要
根据模型参考自适应在异步电机转速估计中的基本原理,结合神经网络自学习的特点,构造了神经网络MRAS模型。并利用MATLAB对模型进行了仿真试验分析,结果表明:建立的转速估计系统能够较为精确的跟踪电动机实际转速。
Based on the model reference adaptive induction motor speed estimation in the basic principles, combined with the characteristics of self-learning neural networks, constructs a neural network MARS model. And use MATLAB to model a simulation analysis, the results showed that： the establishment of the speed estimate is more accurate tracking system to the actual motor speed.
出处
《自动化与仪器仪表》
2012年第2期7-8,共2页
Automation & Instrumentation
基金
甘肃省自然科学基金(096RJZA092)
