Generalized predictive control of induction motors with load torque observation

A generalized predictive control (GPC) law with a disturbance observer was presented for an induction motor. A controlled auto-regressive integrated moving average (CARIMA) model for the drive system of an induction motor was established by analyzing the dynamic equation. The proposed generalized predictive control law aimed to make the actual speed at the next sampling time tracking to the reference speed with optimal characteristics, and the load torque was considered as an unknown disturbance, which could be estimated by a nonlinear observer. In combination with a direct torque control system, the GPC algorithm was applied to configure the torque reference. The stability of the system can be achieved by simple design parameters. Simulation and experimental results prove the effectiveness of the proposed controller.