肖会芹, 邓鲸昌, 何静, 贾林. 基于滑模扰动观测器的PMSM增量式模型预测控制[J]. 制造技术与机床, 2023, (4): 64-71. DOI: 10.19287/j.mtmt.1005-2402.2023.04.010
引用本文: 肖会芹, 邓鲸昌, 何静, 贾林. 基于滑模扰动观测器的PMSM增量式模型预测控制[J]. 制造技术与机床, 2023, (4): 64-71. DOI: 10.19287/j.mtmt.1005-2402.2023.04.010
XIAO Huiqin, DENG Jingchang, HE Jing, JIA Lin. Incremental model predictive of PMSM based on sliding mode disturbance observer[J]. Manufacturing Technology & Machine Tool, 2023, (4): 64-71. DOI: 10.19287/j.mtmt.1005-2402.2023.04.010
Citation: XIAO Huiqin, DENG Jingchang, HE Jing, JIA Lin. Incremental model predictive of PMSM based on sliding mode disturbance observer[J]. Manufacturing Technology & Machine Tool, 2023, (4): 64-71. DOI: 10.19287/j.mtmt.1005-2402.2023.04.010

基于滑模扰动观测器的PMSM增量式模型预测控制

Incremental model predictive of PMSM based on sliding mode disturbance observer

  • 摘要: 针对永磁同步电机模型预测控制在强扰动下的控制性能降低,及非增量式预测模型存在静态误差等问题,提出一种基于滑模扰动观测器的永磁同步电机转速-电流单环增量式模型预测控制方法。首先,基于永磁同步电机在同步旋转坐标下的数学模型和模型预测控制的原理,设计了转速-电流单环增量式模型预测控制器以消除静态误差。然后,设计电流限幅器,以保证电机工作于电流约束内。最后,设计滑模扰动观测器对负载扰动进行观测,用于前馈补偿控制,并证明观测器的稳定性。仿真结果显示,所设计的观测器能快速、准确地观测到负载转矩的变化,所提出的单环控制器具有良好的动态性能。与传统PI控制及非增量式模型预测控制进行仿真对比,所提方法具有超调小、抗干扰能力强等优点。

     

    Abstract: Aiming at the problems of the reduced control performance of PMSM model predictive control under strong disturbance and the existence of static errors in the non-incremental predictive model, an incremental single-loop model predictive control based on sliding mode disturbance observer is studied in this paper. First, by using the mathematical model of the PMSM, through the model predictive control theory, the single-loop incremental model predictive controller was designed. Then, a current constraint method based on the deadbeat principle for the controller was designed. Finally, the sliding mode disturbance observer was designed to observe the load disturbance of the system, which was used to the feed-forward compensation control. And the stability of the system was proved. Simulation and experimental results show that the proposed control method has good transient performances and strong robustness. In addition, compared with the traditional PI and non-incremental model predictive control methods, the method has the advantages of small overshoot and strong anti-interference ability.

     

/

返回文章
返回