有限集模型预测控制永久磁铁同步电机电流,基于超扭曲滑动模式观察员
Huanhuan Ren1, Chengzhi Su1, Ranxiang Long1
1College of Mechanical and Electric Engineering, Changchun University of Science and Technology, Changchun, China.
PloS one
|December 1, 2025
概括
这项研究引入了使用滑动模式观察器对永磁同步电机 (PMSM) 的新预测控制. 该方法提高了跟踪性能,并减少了对高效的电机控制的喋喋不休.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 机器人技术 机器人技术 机器人技术
背景情况:
- 常磁同步电机 (PMSM) 广泛使用,但需要精确的控制.
- 传统的控制方法可能会受到喋喋不休和噪音敏感性的影响.
- 降低成本和提高绩效是PMSM控制的关键挑战.
研究的目的:
- 为PMSM提出一个无传感器预测电流控制策略.
- 为了降低PMSM的成本并提高PMSM的跟踪性能.
- 为了减轻控制系统中的喋喋不休和噪声敏感性.
主要方法:
- 一个新型的超扭曲滑动模式观察器 (STSMO) 设计用于估计反向电机力 (EMF).
- 观察者中的标志函数被替换为sigmoid函数,以减少喋喋不休.
- 有限控制集模型预测控制 (FCS-MPC) 取代了传统的PI控制器,以增强电流循环动态.
- 采用双向量模型预测电流控制 (DVMPCC) 方法来最大限度地减少电流波动.
主要成果:
- 拟议的STSMO有效地减少了高频聊天和噪声敏感性.
- FCS-MPC战略在PMSM电流循环中表现出卓越的动态性能.
- 通过合成最佳电压向量,DVMPCC方法成功地减少了电流.
- 无传感器预测电流控制实现了高速估计的高精度.
结论:
- 开发的无传感器预测电流控制策略为PMSM控制提供了具有成本效益的解决方案.
- STSMO和DVMPCC的集成提供了出色的动态响应和跟踪精度.
- 这种方法提高了PMSM驱动器的整体效率和可靠性.
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