基于模型预测控制算法的永磁同步电机弱磁控制新策略

New Strategy of Flux-weakening Control of PMSM Based on Model Predictive Control

  • 摘要: 针对内嵌式永磁同步电机高速弱磁区域的电压极限椭圆约束及电流参数整定问题,提出一种基于有限集预测电流控制方法和实时电压反馈的混合弱磁控制策略。首先,采用有限集预测电流控制方法在最大转矩电流比和弱磁区域中进行转矩、转速、电流和角度的标定,解决传统复杂电流参数整定问题,提升标定数据的可靠性;其次,在预测电流采样控制方法基础上,结合实时电压反馈,设计弱磁区域的混合弱磁控制策略,避免电流环参数整定的同时,解决电压极限椭圆约束问题和实现高速运行。最后,通过仿真和试验验证了方法的有效性。

     

    Abstract: Aiming at the problem of voltage limit ellipse constraint and current parameter tuning in high-speed flux weakening region of interior permanent magnet synchronous motor, a hybrid flux weakening control strategy based on finite set predictive current control method and real-time voltage feedback is proposed. Firstly, the finite-set predictive current control method is used to calibrate the torque, speed, current and angle in the maximum torque current ratio and flux weakening region, which solves the traditional complex current parameter setting problem and improves the reliability of calibration data. Secondly, on the basis of predictive current sampling control method, combined with real-time voltage feedback, a hybrid flux weakening control strategy is designed to avoid the parameter setting of current loop, solve the problem of voltage limit ellipse constraint and realize high-speed operation. Finally, the effectiveness of the proposed method is verified by simulation and experiment.

     

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