Hybrid controller using fuzzy neural networks for identification and control of induction servo motor drive

摘要

An induction servo motor drive with a hybrid controller, which combines the advantages of the integral-proportional (IP) position controller and the fuzzy neural network controller (FNNC), is introduced in this study. First, the IP position controller is designed according to the estimated plant model to match the time-domain command tracking specifications. Then, a compensated signal generated from FNNC is augmented to the control system to preserve a favorable model-following characteristic.