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A simpler and more efficient iterative learning controller for PMSM torque ripple reduction

Torque ripple minimization for permanent magnet synchronous motor (PMSM) based on PI-type iterative learning control (PIILC) strategy is discussed in this paper. Iterative learning control is naturally a good choice for minimize periodic torque ripple due to its data storage characteristic. To assure parameter convergence, infinite norm is used in controller design for learning gains. The approach proposed is not only simpler than conventional methods but more efficient because it is not necessary to detect electromagnetic torque and feed it back to the current loop. Several simulations are presented, suggesting that the method addressed is effective for constant-speed reference commands in torque ripple reduction.