通过改进的PR和自适应位置观察者通过超高速PMSM的无感应控制
Xiyue Bai1, Weiguang Huang1,2, Chuang Gao2
1Center for Adaptive System Engineering, ShanghaiTech University, Shanghai 201210, China.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
这项研究通过改进扩展的后方EMF估计来增强超高速电机的无传感器控制. 新方法提高了位置和速度的准确性,这对于高性能应用至关重要.
科学领域:
- 电气工程 电气工程
- 机动控制系统 机动控制系统
- 机器人技术 机器人技术 机器人技术
背景情况:
- 精确的位置和转速估计对于控制超高速 (UHS) 永磁同步电机 (PMSM) 至关重要.
- 传统的无传感器方法,如扩展电机力 (EEMF) 估计,面临着精确的挑战,特别是在动态条件下.
研究的目的:
- 为了提高无传感器UHS-PMSM驱动器的位置和速度估计的精度.
- 解决传统EEMF估计算法的局限性,特别是离散和波干扰.
主要方法:
- 提议对EEMF算法的改进:使用离散模型进行离散补偿,使用改进的比例共振 (IPR) 控制器进行高频波过,以及自适应相锁循环 (APLL) 带宽调整.
- 用IPR控制器取代传统的PI控制器和LPF,用于精确的电机力 (EMF) 提取和静态错误消除.
- 实现了自适应相锁循环 (APLL) 来动态调整带宽,在加速过程中平衡噪声拒绝和相延迟.
主要成果:
- 拟议的方法通过简化相角计算,有效地减轻离散和延迟错误.
- IPR控制器成功过了高频波,提高了EMF提取的准确性.
- 在APLL中的动态带宽调整减少了位置估计错误,并优化了扭矩输出.
- 在90,000rpm,30kW电机上的模拟和实验验证了增强的性能.
结论:
- 与传统的EEMF方法相比,精致的无传感器驾驶技术显著提高了位置和速度估计的准确性.
- 拟议的算法提供了一个强大的解决方案,用于精确控制无机械传感器的UHS-PMSM驱动器.
- 这一进步有助于提高高速电机系统的效率和可靠性.
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