一个新的类别的非高斯系统性能评估和控制器参数调方法
Yi Meng1, Jinglin Zhou1, Furong Lei1
1College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
ISA transactions
|September 13, 2024
概括
本研究介绍了用于非高斯系统中控制性能评估和调整的数据高斯化方法. 这些新的技术解决了传统方法的局限性,通过将数据转换为虚拟的高斯状态来提高控制器性能.
科学领域:
- 控制系统工程 控制系统工程
- 统计信号处理 统计信号处理
- 非高斯数据分析的数据分析.
背景情况:
- 传统的控制性能评估 (CPA) 和控制器参数调整 (CPT) 方法往往忽略了非高斯外部干扰.
- 这种监督限制了它们在面临复杂噪音环境的现实世界系统中的有效性.
研究的目的:
- 开发专门为受非高斯干扰影响的单输入单输出 (SISO) 系统设计的新型CPA和CPT方法.
- 引入一个统一的框架,用于在非高斯条件下进行可靠的控制性能评估和调整.
主要方法:
- 建议数据高斯化 (反向) 转换方法,通过量子转换最大化相互信息,将非高斯数据转换为虚拟高斯数据.
- 利用基于CARMA模型的递归扩展最小平方和最小绝对偏差算法来识别虚拟高斯式和非高斯式系统模型.
- 为非高斯控制系统开发了一个整合CPA和CPT的统一框架.
主要成果:
- 拟议的数据高斯化方法有效地将非高斯数据转换为用于分析的虚拟高斯域.
- 基于CARMA的算法在虚拟高斯和非高斯域中成功识别了系统模型.
- 统一的框架为评估不同非高斯噪声的性能提供了一个一致的基准标准.
结论:
- 新的数据高斯化 (反向) 转换方法为非高斯系统中的CPA和CPT提供了显著的进步.
- 拟议的策略确保了可靠的控制器参数调整,并提供可靠的性能评估,优于传统方法.
- 开发的统一框架对于处理非高斯控制挑战是有效的.
相关概念视频
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01:07Time-Domain Interpretation of PD Control
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01:21Control System Problem
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