Inter-sample iterative learning control for induction motor drives

Iterative learning control (ILC) is a simple technique devised for repetitive systems. In this work, an inter-sample ILC algorithm is proposed for the speed control problem of an induction motor. The proposed algorithm is mathematically analyzed and validated using a real-time experiment. Its performance is observed to be better than that of PI based Field Oriented Control (FOC) regarding convergence rate and overshoot. The proposed algorithm is different from the conventional ILC as we are not considering a repetitive control task in this work.