Low-Speed Model Predictive Control Based on Modified Extended State Observer of Arc Motor
Demin Huang, Shuhua Fang, Zhenbao Pan, Yicheng Wang
Abstract
The article proposes a low-speed model predictive control (LSMPC) based on modified extended state observer with low-resolution encoder for the field modulated stator permanent magnet arc motor. The resolution of the encoder and the large torque ripples caused by the motor structure limit the expansion of the drive system to lower speeds. In order to reduce the contradiction between high bandwidth and high noise, and improve the performance of the drive system in low speed, a modified linear extended state observer with a feedforward compensation is designed to estimate the speed and disturbance. Moreover, a dead time compensation is equipped to reduce the voltage distortion in light load and low speed. The experimental results verify the effectiveness of the proposed method in low speed with low-resolution encoder.