摘要
为解决传统的永磁同步电机无差拍电流预测控制严重依赖电机参数,导致当电机参数发生变化时,控制性能严重下降,出现电流跟随不上,谐波含量增大等问题,文中提出一种基于龙伯格观测器的增量模型的无差拍电流预测控制方法,解决了传统无差拍电流预测控制中无法抵抗参数扰动问题.首先在原有无差拍电流预测控制模型的基础上推导出增量模型,消除电流预测控制中磁链变化的影响;其次为了消除电感变化对电流预测控制效果的影响,引入龙伯格观测器,建立带有龙伯格观测器的增量模型;最后通过simulink仿真和实验验证了所提出方法的有效性.
The traditional deadbeat current predictive control of permanent magnet synchronous motor heavily depends on motor parameters, causing the control performance degraded seriously, the current unconformity and harmonic content increase with motor parameter change. To solve the problem of parameter disturbance in the traditional deadbeat current predictive control, a deadbeat predictive current control(DPCC) method was proposed based on the incremental model of Luenberger observer. Firstly, based on the original deadbeat current predictive control model, an incremental model was derived to eliminate the influence of flux linkage change in current predictive control. Secondly, in order to eliminate the influence of inductance change on the effect of current predictive control, the Luenberger observer was introduced and an incremental model with Luenberger observer was established. Finally, the effectiveness of the proposed method was verified by Simulink simulation and experiments.
作者
张硕
孙永禄
赵明威
周莹
ZHANG Shuo;SUN Yonglu;ZHAO Mingwei;ZHOU Ying(School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China)
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2022年第10期1073-1079,共7页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(52005037)。
关键词
永磁同步电机
电流预测控制
增量模型
龙伯格观测器
permanent magnet synchronous motor(PMSM)
current predictive control
deadbeat predictive cur-rent control(DPCC)
incremental model
Luenberger observer
