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This article proposes a torque ripple reduction method based on speed ripples for permanent magnet synchronous machine (PMSM) drives. The torque ripples are first estimated based on speed harmonics at low speed. Based on that, the optimal harmonic current reference is then derived to fully compensate for the estimated torque ripple with minimum stator resistive loss. An extended state observer (ESO)-based deadbeat harmonic current controller (DHCC) is also presented in the rotor reference frame (RRF) to inject the optimal harmonic currents with good performance in steady state and transients. To extract the harmonic currents for harmonic current control and speed harmonics for torque ripple estimation with fast convergence and good accuracy, an adaptive linear neural (ADALINE) network-based filter is implemented in this article. Simulations and experiments are carried out to show the validity and performance of the proposed torque ripple reduction method.
Qu et al. (Mon,) studied this question.