使用在线参数估计的非交互的最佳和自适应扭矩控制,使用EKF中的多项式用于PMSM的PMSM
Tanja Zwerger1, Paolo Mercorelli2
1Rolls Royce Power Systems GmbH, Maybachplatz 1, 88045 Friedrichshafen, Germany.
ISA transactions
|January 11, 2025
概括
本研究介绍了永久磁铁同步机 (PMSM) 的非相互作用扭矩控制策略. 它使用扩展卡尔曼波器 (EKF) 有效地估计机器电感,改善扭矩控制和减少振动.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 机器学习应用 机器学习应用
背景情况:
- 永久磁铁同步机 (PMSM) 需要精确的扭矩控制以获得最佳性能.
- 分离d和q轴动态对于有效的扭矩控制策略至关重要,例如每安培最大扭矩 (MTPA).
- 精确估计机器参数,特别是电感度 (Ld和Lq),是基于模型的控制的基础.
研究的目的:
- 为PMSM开发一种非相互作用的扭矩控制策略,使d轴和q轴动力学脱.
- 使用扩展卡尔曼波器 (EKF) 估计d和q轴的感应率 (Ld,Lq),并对和效应进行多项式建模.
- 通过硬件在循环 (HIL) 模拟来验证拟议的控制策略和感应率估计.
主要方法:
- 实施了非相互作用的扭矩控制策略,使用MTPA方法进行参考电流计算.
- 采用了两个具有单变多项的EKF来建模和估计机器电感率Ld和Lq,考虑和.
- 在离散的实验设置中使用前向欧勒离散化来实现观察者,并进行HIL模拟.
主要成果:
- 成功解了d轴和q轴的动态,从而提高了感应率估计的可观测性.
- EKF 提供了足够的感应率估计精度,通过工艺噪声来管理错误,从而实现有效的非相互作用控制.
- HIL的结果表明,测量点,振荡,扭矩波动和干扰减少,保持扭矩质量在技术范围内.
结论:
- 建议的非相互作用扭矩控制策略,结合基于EKF的电感率估计,为精确的PMSM控制提供了一种可行的方法.
- 在EKF中使用单变多项式简化了模型,减少了计算负载,并最大限度地减少了用于感应率识别的数据要求.
- 这种方法通过减少振动和干扰来提高扭矩控制性能,使其适合要求高效率和流性的应用.
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