基于模糊动态代价函数的永磁同步电机有限控制集模型预测电流控制

提出一种基于模糊动态代价函数的有限控制集模型预测电流控制方法。分析了dq轴电流及开关次数三个控制目标权重分配不同对电流控制性能的影响,针对传统有限控制集模型预测电流控制中代价函数的dq轴电流项无针对性优化的状况,通过判断转速偏差及转速变化率,应用模糊算法对权重系数进行多目标动态优化分配,并给出模糊论域和相应的模糊推理规则设计。该方法提高了动态过程中系统电流响应速度,优化了逆变器开关频率,改善了不同权重系数下系统动态性能和稳态裕度相互制约的状况。仿真和实验结果均证明了所提方法的有效性。

Finite-Control-Set Model Predictive Current Control for Permanent Magnet Synchronous Motor Based on Dynamic Cost Function Using Fuzzy Method

This paper proposes a finite-control-set model predictive current control for permanent magnet synchronous motor (PMSM) based on dynamic cost function using fuzzy method. The performance of current control is analyzed in different weighting factors of dq current and switching times in cost function. The current item in cost function was not optimized in traditional finite-control-set model predictive current control. Thus, the deviation of speed and its rate of change are used for adjusting weighting factors in cost function dynamically through fuzzy method. The domain of fuzzy control and its reasoning rule are built. The proposed method can improve the response of current, and optimize the switching frequency at the same time. The constraint between dynamic response and stability margin is improved. Both simulation and experiment verify the proposed method.