有界扰动约束LPV系统的综合故障估计与容错控制

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Damiano Rotondo , Marcin Pazera , Marcin Witczak
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引用次数: 0

摘要

研究具有椭球有界外部扰动的有约束连续线性变参数系统的故障估计与容错控制的集成问题。与上述耦合相关的令人不快的影响是控制和估计相互影响。因此,主要目标是通过提供新的集成策略来防止受控系统出现这种不可接受的性能。该框架基于输出反馈方法,该方法基于两个阶段:离线-与基于线性矩阵不等式的故障估计和控制相关的低复杂度优化任务,以及在线-线性变参数系统的确定性模型预测控制。基于四缸系统的仿真验证了这种两阶段方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrated fault estimation and fault-tolerant control for constrained LPV systems subject to bounded disturbances

Integrated fault estimation and fault-tolerant control for constrained LPV systems subject to bounded disturbances
The paper deals with the issue of integrating fault estimation and fault-tolerant control for constrained continuous-time linear parameter varying systems with ellipsoidally bounded external disturbances. The unappealing effect related to the above coupling is that control and estimation influence each other. Thus, the main goal is to prevent such an unacceptable performance of the controlled system by providing a new integration strategy. The proposed framework is based on an output feedback approach, which is based on two staged: off-line – a low-complexity optimization task related to the fault estimation and control based on linear matrix inequalities, as well as on-line – a deterministic model predictive control for linear parameter-varying system. The effectiveness of this two-stage approach is illustrated with simulations based on a quadruple tank system.
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来源期刊
Journal of Process Control
Journal of Process Control 工程技术-工程:化工
CiteScore
7.00
自引率
11.90%
发文量
159
审稿时长
74 days
期刊介绍: This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
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