一个自我调节的粉丝追踪区分算法,用于控制主动干扰排斥.
Ziyu Wang1, Xiaolin Wang2, Xucong Bao2
1Department of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. wangziyu_1995@nuaa.edu.cn.
本研究介绍了一种基于fHan跟踪差分器 (TD) 的自调节算法,用于永久磁同步电机 (PMSM) 驱动器中的基于fHan跟踪差分器 (TD) 的主动干扰排斥控制 (ADRC). 它可以动态调整一个关键参数,以在不同的条件下提高稳定性和性能.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
背景情况:
- 带有fHan跟踪差分器 (TD) 的主动干扰排斥控制 (ADRC) 在永磁同步电机 (PMSM) 驱动器中很常见.
- fHan-TD中的一个关键参数"r"对速度命令和负载变化敏感,影响稳定性和性能.
研究的目的:
- 开发一种自我调节的fHan-TD算法,用于对参数"r"进行实时调整.
- 在不同的操作条件下提高PMSM驱动器的稳定性和动态性能.
主要方法:
- 提出了一种新的自我调节的fHan-TD算法.
- 实现了参数"r"的实时动态调整.
- 在PMSM驱动平台上进行实验验证.
主要成果:
- 与固定r方法相比,拟议的算法显著减少了高达50%的速度结算时间.
- 在各种运营场景中保持无超越的性能.
- 在不同的负载和速度命令下表现出更好的稳定性和动态响应.
结论:
- 自调节的fHan-TD算法有效地解决了PMSM驱动器中固定参数方法的局限性.
- "r"的动态调对于PMSM驱动器的强大和高性能控制至关重要.
- 提出的方法为提高PMSM驱动效率和可靠性提供了一个实际的解决方案.
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