Single neuron adaptive controller for doubly-fed motor drive system

Abstract

A nonlinear controller based on single neuron adaptive control has been developed for the doubly-fed induction motor, which implement the self optimizing control for the parameters of speed loop and gain an excellent torque tracking control. The strategy and stability of the designed controller are deduced and verified by experiments on a platform. The results of the experiment indicate that the controller can realize self optimizing control for the parameters of speed loop and obtain fine dynamic and static performance.