An approach for the design of fuzzy sliding adaptive controller in induction motor drives

A robust servo system is presented for the purpose of maintaining a good speed tracking, load regulating responses and unknown disturbance regulating responses. The proposed system, based on a feedforward control theory, consists of fuzzy sliding adaptive controller (FSAC), sliding mode torque observer (SMTO) and parameter controller (PC). FSAC is a sliding mode controller whose structure is continuously changed by fuzzy logic such that the controller makes the system response quickly, and the speed tracking well. SMTO is an observer that is used to compensate load torque. SMTO is more robust to the parameter deviations of observer and sensor noise than other types of observers. PC is a parameter controller which selects a moment of inertia J in responding to a load torque to control the system response. Finally a microcomputer-based system is implemented. Then simulation and experimental results are described to verify the effectiveness of the proposed algorithm