Aiming at the problem that parameters are time-varying in the induction motor model, a method for induction motor stator resistance identification based on particle swarm optimization neural network observer was proposed. At first, a nonlinear function containing the parameters to be identified was constructed, and then according to the neural network approximation properties of any nonlinear continuous function, RBF neural network was used to approximate the nonlinear function, and the adaptive observer was constructed based on the neural netw...
