The research for speed estimation of induction motor based on neural network
Zongkai Shao, Ying Li · 2002
Artificial neural networks have the ability of parallel calculation, adapting, learning and approaching an arbitrary nonlinear function. In this paper, a method of how to use a single nerve cell to identify motor speed and how to use a multi-input neural network to identify motor stator and rotor resistance online is discussed. The simulation results show its validity and feasibility.