A New Technique to Suppress Electromagnetic Torque Ripple Based on Iterative Predictive Variable Gain Control

In order to mitigate undesirable vibrations which are viewed as by products in electromechanical energy conversion process, propose a variable gain iterative learning control strategy, based predictive learning gain, by feedback linear on the system, set up a prediction model, at each sample time, calculate learning gain by the least squares method to obtain updated learning gain. Compressing mapping principle is be used to prove the convergence of the algorithm. Simulation results demonstrate, the superiority of this method through comparing with constant gain and other variable gain.