Robust control of electrical drives using adaptive control structures — a comparison

In the paper a comparative study of two robust control strategies for electrical drives are presented. The both investigated methods are based on the MRAS (model reference adaptive system) concept. In these structures the fuzzy-neural network speed controller is trained on-line in order to minimize the tracking errors between the output of the plant (drive speed) and the reference model. The first tested structure is based on the adaptive PI-type fuzzy controller, whereas the second uses the adaptive sliding mode fuzzy controller. The theoretical consideration and the simulation study have been confirmed by the laboratory tests on two stands with DC and AC driving motors.