可分离的同步辅助模型适应动量估计策略,用于时间变化的系统,来自在线测量的有色噪声
1College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China.
ISA transactions
|December 18, 2024
概括
本研究提出了一种新的自适应动量算法,用于在有色噪声的时间变化系统中准确估计参数. 该方法有效地处理隐藏变量和噪声,在模拟和直流电机建模中表现出强的性能.
科学领域:
- 控制系统工程 控制系统工程
- 信号处理 信号处理
- 适应性过是一种自适应性过.
背景情况:
- 时间变化的系统很难准确地建模,特别是当它们受到相关 (有色) 噪声的影响时.
- 现有的参数估计方法经常与隐藏变量和时间变化的噪声特征作斗争.
研究的目的:
- 开发一个强大的,高精度的算法,用于在时间变化的系统中进行参数估计,这些系统被彩色噪声损坏了.
- 解决隐藏变量和时间变化的噪声信号带来的复杂性.
主要方法:
- 原始系统的分解成两个子系统.
- 引入辅助模型,用于分离和同步估计时间变化的参数.
- 开发可分离的同步辅助模型自适应动量算法,并进行偏差校正以提高准确性.
- 在线参数估计的实施.
主要成果:
- 拟议的算法实现了对时间变化的参数的高精度估计.
- 模拟实验验证了该方法对有色噪声的时间变化系统的有效性.
- 成功扩展到直流 (DC) 电机参数识别,证明了良好的跟踪性能.
结论:
- 呈现的自适应动量算法为复杂的时间变化系统中的参数估计提供了有效的解决方案.
- 该方法对现实世界的应用有很大的希望,包括动态系统建模和识别.
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