活动干扰排斥控制与分数顺序模型辅助的扩展状态观察员
Shaohua Wang1, He Gan1, Ying Luo1
1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan, China.
ISA transactions
|July 26, 2023
概括
这项研究引入了一种新型的分数顺序主动干扰排斥控制 (FOADRC),以改善干扰排斥和降低噪声灵敏度. 这种新方法提高了永久磁铁同步电机等系统的控制性能和稳定性.
科学领域:
- 控制工程 控制工程 控制工程
- 非线性控制系统 不线性控制系统
- 分数微积分的微积分计算
背景情况:
- 主动干扰排斥控制 (ADRC) 通过扩展状态观察器 (ESO) 增强干扰排斥.
- 在ESO中,高观测器带宽可以提高性能,但会放大噪声,降低控制质量.
- 现有的ADRC方法在平衡干扰排斥和噪声抑制方面面临挑战.
研究的目的:
- 提出一种新的分数顺序ADRC (FOADRC),以克服传统ADRC的局限性.
- 设计一个分数顺序模型辅助的扩展状态观察器 (FOMESO),以改进干扰估计.
- 为了降低噪声敏感性和提高整体控制性能.
主要方法:
- 设计了一个使用植物信息的分数顺序模型辅助扩展状态观察者 (FOMESO).
- 将二级工厂转换为分数级双整合器模型.
- 开发了一个没有对噪声敏感的衍生组件的FOADRC控制器.
主要成果:
- 在给定的观察者带宽下,FOMESO 改善了干扰估计,而不会加重噪声灵敏度.
- 在跟踪,噪音灵敏度,干扰排斥和稳定性方面,FOADRC方案表现出了与传统ADRC相比的优越性能.
- 拟议的FOADRC表现出对植物参数变化的稳定性.
结论:
- 拟议的FOADRC利用FOMESO,提供了增强的控制性能和稳定性.
- 该方法有效地减轻了与ADRC中高观察员带宽相关的噪音问题.
- 在永久磁铁同步电机上的实验验证证证了FOADRC的优越性和有效性.
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