一个最佳的多目标控制架构的PMSM驱动器驱动器
Biplab Kumar Mohapatra1, Vidit Sharma1, Pritam Bhowmik1
1School of Electrical Engineering, VIT Chennai Campus, Chennai, Tamil Nadu, 600048, India.
Scientific reports
|February 27, 2026
概括
这项研究引入了永久磁铁同步电机 (PMSM) 驱动器的先进控制,提高了电动汽车的效率. 矢量模型预测控制 (V-MPC) 方法提高了稳定性,并减少了电流波,以获得更好的性能.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 电动汽车技术 电动汽车技术
背景情况:
- 突出的永磁同步电机 (PMSM) 对电动汽车 (EV) 的效率至关重要.
- 现有的控制方法面临的挑战是参数变化和负载波动.
- 优化PMSM驱动器是提高EV性能和节能的关键.
研究的目的:
- 为突出的PMSM驱动器提出一个最佳的多目标控制架构.
- 提高电动汽车应用中的系统性能和能源效率.
- 为了提高对参数不匹配和负载变化的稳定性.
主要方法:
- 矢量模型预测控制 (V-MPC) 提高了稳定性.
- 基于电流的转子角度估计负载扭矩变化.
- 基于递归的定子电流前进模型,以减少波纹和波.
- 4个部门修改电压向量选择与当前错误优化.
主要成果:
- 在较大的负载扭矩变化期间提高了强度.
- 减少计数过程和提高驱动器性能.
- 最小化了定子电流的波纹和波.
- 在参数不匹配期间保持机器变量,增加系统性能.
- 使用利亚普诺夫能量函数进行理论稳定性分析.
结论:
- 拟议的V-MPC架构为电动汽车中的PMSM驱动提供了更好的控制.
- 该方法有效地提高了稳定性,效率和性能.
- 在Simulink MATLAB环境中验证了可行性.
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