基于自适应高增益观测器的永磁同步电机预测电流控制方法

针对永磁同步电机(permanentmagnetsynchronous motor,PMSM)预测控制系统的模型失配、时变矩阵及观测器增益选择问题,提出基于自适应高增益观测器的预测电流控制方法(predictive current control based on an adaptive high-gain observer,AHGOPCC)。通过构建PMSM的前馈型扩张数学模型,集成考虑电机电阻、电感、磁链参数扰动项。提出基于前馈型扩张标称数学模型的高增益观测器,有效跟踪和估计电流与扰动状态及抑制转速变化引起的扰动。同时,设计自适应观测器增益矩阵满足全速工况的高增益条件,简化观测器的增益选择。在此基础上,构建离散化电流模型和成本函数,实现预测电流控制算法。实验结果证明了该方法的有效性,在多种工况下具备更优的快速性、鲁棒性及稳定性。

Predictive Current Control of Permanent Magnet Synchronous Motor Based on an Adaptive High-gain Observer

In order to improve the control performance under condition of model mismatch, time-varying matrix and observer gain selection, a predictive current control based on an adaptive high-gain observer(AHGOPCC) was proposed in this paper. Firstly, by incorporating parameter mismatches of resistance, inductance and flux, a feed-forward extended model of permanent magnet synchronous motor(PMSM) was established. Secondly, aiming to estimate the current and disturbance state and restrain disturbance of speed variation, a high-gain observer was designed with a standard feed-forward extended PMSM model. Thirdly, an adaptive high-gain matrix was developed to satisfy the performance under full speed operation and improve the observer gain selection. Finally, a discrete predictive current model and a cost function were obtained based on AHGOPCC. The experimental results verify the excellent dynamic performance, robustness and stability of the proposed method.