考虑输入饱和的基于观测器的PI控制简化MIMO设计

IF 0.7 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS At-Automatisierungstechnik Pub Date : 2023-03-01 DOI:10.1515/auto-2022-0065
P. Hippe
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引用次数: 0

摘要

在基于观测器的控制中,可以通过观测器技术系统地防止积分或控制器绕组,即通过将饱和的对象输入信号馈送到观测器中。这可以防止由补偿器的动态引起的所有绕组效应。可能剩下的发条效应是一样的,如果恒定状态反馈控制已经应用。当使用经典方法鲁棒抑制持续干扰时,状态加干扰观测器被细分为状态观测器和被控信号模型。因此,观察者技术仅适用于采取额外措施或诉诸最近发表的双重设计方法时。本文提出了一种非常简单的MIMO PI补偿器设计,它直接为观测器技术提供了基础。
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Simplified MIMO design of observer-based PI control in view of input saturation
Abstract In observer-based control integral or controller windup can systematically be prevented by the observer technique, i.e., by feeding the saturated plant input signal into the observer. This prevents all windup effects caused by the dynamics of the compensator. The possibly remaining windup effects are then the same as if constant state feedback control had been applied. When using the classic approach for robust rejection of persistent disturbances the state-plus-disturbance observer is subdivided into the state observer and the controlled signal model. Thus the observer technique is only applicable when taking additional measures or when resorting to a recently published dual design method. Here, a very simple design for MIMO PI compensators is suggested which directly yields the basis for the observer technique.
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来源期刊
At-Automatisierungstechnik
At-Automatisierungstechnik 工程技术-自动化与控制系统
CiteScore
2.00
自引率
10.00%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Automatisierungstechnik (AUTO) publishes articles covering the entire range of automation technology: development and application of methods, the operating principles, characteristics, and applications of tools and the interrelationships between automation technology and societal developments. The journal includes a tutorial series on "Theory for Users," and a forum for the exchange of viewpoints concerning past, present, and future developments. Automatisierungstechnik is the official organ of GMA (The VDI/VDE Society for Measurement and Automatic Control) and NAMUR (The Process-Industry Interest Group for Automation Technology). Topics control engineering digital measurement systems cybernetics robotics process automation / process engineering control design modelling information processing man-machine interfaces networked control systems complexity management machine learning ambient assisted living automated driving bio-analysis technology building automation factory automation / smart factories flexible manufacturing systems functional safety mechatronic systems.
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