Adaptive Disturbance Attenuation for Brushless DC Motors

This paper studies disturbance attenuation for brushless DC motors. For the cogging force disturbance in the brushless DC motors, a two-step adaptive attenuation algorithm based on the particle swarm optimization algorithm and the model reference adaptive algorithm is proposed. It is turned out that the attenuation algorithm can effectively suppress the cogging force disturbance. Moreover, this paper discusses the effectiveness of the attenuation algorithm when the operating point changes, the attenuation experimental results show that the change of the operating point does not degrade the compensated effect.