低峰现象级联高收益观察者设计,使用LPV/LMI方法
Qi Li1, Lu Duan1, Guangyu Cao1
1School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, China.
PloS one
|September 24, 2024
概括
这项研究引入了一种新的参数调方法,用于高增益观测者,减少估计峰值和噪声灵敏度. 该方法提高了复杂系统中状态估计的准确性.
科学领域:
- 控制系统工程 控制系统工程
- 非线性系统分析 非线性系统分析
- 观察者设计 观察者设计
背景情况:
- 高值观测者容易出现峰值现象和噪声敏感性.
- 现有的方法往往难以有效地缓解这些固有的局限性.
- 准确的状态估计对于控制和监控应用至关重要.
研究的目的:
- 为二级级级联观测器结构提出一种新的参数调整方法.
- 解决高通道观测者应用中的峰值现象和噪声敏感性问题.
- 为了减少观察者获取的最小值,以改善状态估计.
主要方法:
- 使用线性参数变化 (LPV) /线性矩阵不等式 (LMI) 方法.
- 将观察者结构转换为类似于Luenberger的配置.
- 分解非线性系统动态并解决可调节的LMI.
主要成果:
- 显著减少了观察者获得的最小值,减轻了峰值和噪声效应.
- 使用利亚普诺夫稳定性分析证明了收.
- 在单环机械臂和车辆轨迹估计上有效验证.
结论:
- 拟议的LPV/LMI方法有效地降低了高观察者峰值和噪声灵敏度.
- 该技术为动态系统中准确的状态估计提供了强大的解决方案.
- 在机械和汽车工程领域的验证适用性.
相关概念视频
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The construction of a root locus involves several key steps to analyze and visualize the behavior of a system's poles with varying gain. The number of branches in the root locus equals the number of closed-loop poles and is symmetrical about the real axis.
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Root-Locus Method
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In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
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