河南理工大学学报（自然科学版）2025，Vol.44Issue(6)：182-190,9.DOI:10.16186/j.cnki.1673-9787.2023020062
基于灰色预测模型和降阶Luenberger观测器的永磁同步电机双闭环预测控制方案设计与实现
Design and implementation of double closed loop predictive control system of PMSM based on grey prediction model and reduced order Luenberger observer
摘要
Abstract
Objectives The dynamic response and anti-interference performance of the permanent magnet synchronous motor(PMSM)control system need to be further enhanced.Methods A double closed-loop pre-dictive control scheme based on grey prediction model and reduced-order Luenberger observer was pro-posed.Firstly,in order to predict the d,q axis reference current of PMSM more accurately through the his-torical current data,the grey prediction model was introduced into the current inner loop to improve the dy-namic current response performance based on double closed-loop MPC system.Secondly,a reduced-order Luenberger observer was designed in the speed outer loop to observe the load torque and make compensa-tion control,which reduced the dynamic response time and the recovery time after interference.Finally,the proposed strategy was verified by simulation and experiment respectively.Results When the motor ad-opted the MPC+DPC scheme,the speed rise time of the PMSM was about 0.3 s when it started no-load;when the load torque of 6 N ⋅ m was abruptly added to the motor,the motor speed dropped,the maximum speed fluctuation was 100 r,the speed recovery time was 0.4 s,and then the A-phase current THD was 27.59%.When the motor adopted the proposed scheme,the no-load start of the PMSM speed rise time was about 0.18 s,when the load of 6 N ⋅ m was suddenly added to the motor,the motor speed dropped,the maximum speed fluctuation was 65 r/min,the speed recovery time was 0.2 s,after stable operation,the A-phase current THD was 19.35%.Conclusions The results showed that the no-load start time of PMSM was shorter when the improved double closed-loop predictive control scheme was adopted in this paper.When the load was suddenly applied,the speed fluctuation was smaller and the speed recovery speed was faster.With less current disturbance,it had faster dynamic response performance,stronger anti-disturbance abil-ity and better current control performance.关键词
永磁同步电机/双闭环预测控制/灰色预测模型/降阶Luenberger观测器Key words
permanent magnet synchronous motor/double closed-loop predictive control/grey prediction model/reduced-order Luenberger observer分类
信息技术与安全科学引用本文复制引用
张彪,潘红光,赵应华,王东亮..基于灰色预测模型和降阶Luenberger观测器的永磁同步电机双闭环预测控制方案设计与实现[J].河南理工大学学报（自然科学版）,2025,44(6):182-190,9.基金项目
国家自然科学基金资助项目(61603295) （61603295）
