基于由减少顺序和全顺序扩展状态观察者组成的级联估计器的主动干扰拒绝控制
Harvey David Rojas1, John Cortés-Romero2, Herbert Enrique Rojas3
1GISE3 Research Group, Department of Electrical Engineering, Universidad Distrital Francisco José de Caldas, Cra. 8 # 40-62, Floor 8th - GISE3 Lab, Bogotá, Colombia; Department of Electrical and Electronic Engineering, Universidad Nacional de Colombia, Av. Cra. 30 # 45-03, Bogotá, Colombia.
ISA transactions
|June 2, 2024
概括
一个新的级联估计器CRESO通过平衡精度和噪声来改善主动干扰排斥控制 (ADRC). 这种先进的观察器可以提高系统对干扰和不确定性的性能.
科学领域:
- 控制系统工程 控制系统工程
- 电气工程 电气工程
- 观察者理论就是观察者理论.
背景情况:
- 主动干扰拒绝控制 (ADRC) 依赖于扩展状态观察员 (ESO) 来进行干扰估计.
- 传统的ESO方法在平衡稳定性,准确性和噪声放大方面面临挑战.
- 现有的级联ESO (CESO) 结构提供了改进,但可能无法完全优化这些权衡.
研究的目的:
- 介绍CRESO,一种新的级联估计器,将减少顺序和全顺序ESO合并在一起.
- 分析CRESO的性能,稳定性和降噪能力.
- 展示CRESO在实际应用中的有效性,如DC-DC转换器.
主要方法:
- 开发了一个新的级联估计器 (CRESO),集成了减少顺序和完整顺序的ESO.
- 执行频域分析以评估稳定性边缘,灵敏带宽和低频估计错误.
- 在各种干扰和噪音条件下,在同步转换器上进行实验验证.
主要成果:
- 与单级ESO和CESO相比,CRESO表现出优越的性能和稳定性.
- 频域分析使用实际指标量化了CRESO的优势.
- 实验结果证实基于CRESO的ADRC有效处理不确定性,干扰和传感器噪声.
结论:
- 克雷索为ADRC固有的权衡提供了一个有效的解决方案.
- 拟议的估计器对现有的ADRC战略提供了显著的改进.
- 克雷索提高了与跟踪错误和控制信号相关的系统质量指数.
相关概念视频
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