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基于改进快速梯度法的永磁同步电机六步运行模型预测控制

Model Predictive Control for Six-Step Operation of PMSM Based on Adapted Fast Gradient Method

语言:

中文摘要

本文提出了一种覆盖空间矢量调制和六步运行模式的永磁同步电机模型预测控制(MPC)策略。通过估计定子磁链及其对应调制方法的参考轨迹,构建了优化问题,并利用改进的快速梯度法(FGM)进行求解,有效提升了控制性能与计算效率。

English Abstract

This article proposes model predictive control (MPC) of permanent magnet synchronous machines covering both the space vector modulation and the six-step operation. According to the estimated stator flux and its reference trajectory corresponding to modulation methods, the optimization problem is formulated and solved through the adapted fast gradient method (FGM). The proposed FGM performs the pro...
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SunView 深度解读

该技术主要针对电机驱动控制,与阳光电源的风电变流器及电动汽车充电桩业务高度相关。在风电变流器中,采用改进的快速梯度法(FGM)优化模型预测控制,可显著提升变流器在宽转速范围内的动态响应速度和稳态精度,尤其在弱磁区六步运行模式下,有助于降低谐波损耗并提高系统效率。建议研发团队将其引入风电变流器控制算法库,以提升产品在复杂电网环境下的控制鲁棒性,并探索其在高性能电机驱动场景下的应用潜力。