ADAPTIVE SPEED CONTROL FOR INDUCTION-MOTOR DRIVES USING NEURAL NETWORKS

In this paper, the adaptive speed control of induction motor drives us ing neural networks is presented. To obtain good tracking and regulati ng control characteristics, a digital two-degree-of-freedom (2DOF) con troller is adopted and a design procedure is developed for systematica lly finding its parameters according to prescribed specifications. The parameters of the controller corresponding to various drive parameter sets are found off-line and used as the training patterns to estimate the connection weights of neural networks. Under normal operation, th e true drive parameters are real-time identified and they are converte d into the controller parameters through multilayer forward computatio n by neural networks. The parameters of the 2DOF controller can be ada pted to match the desired specifications under various operating condi tions.