An iterative learning controller for induction motors

Iterative learning control (ILC) is a value-added block to enhance the feedback control performance by utilizing the fact that the system is operated repeatedly for the same task. ILC has found wide application in area of robotics for servo motor control. This paper focuses on to implementation of ILC based compensator to vector-controller induction motor system. The performance of the ILC compensated system is compared with the traditional PID compensated system in terms of tracking, robustness and convergence. The conclusions have been drawn based on the simulations in SIMULINK.