Simultaneous interval estimation of actuator fault and state for a class of nonlinear systems by zonotope analysis

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Chi Xu , Zhenhua Wang , Vicenç Puig , Yi Shen
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引用次数: 0

Abstract

In this paper, an actuator fault and state interval estimation method for a class of nonlinear systems is proposed by integrating observer design and zonotope analysis. For the considered systems, we present a novel unknown input observer structure with broad applications. The design procedure is based on H method to decrease the influence of unknown but bounded process disturbances and measurement noise. Moreover, a novel interval estimation method is presented based on zonotope analysis to obtain tighter intervals. Numerical simulations of a quadruple-tank system are conducted to assess the performance of the proposed approach.

通过区角分析法同时对一类非线性系统的致动器故障和状态进行区间估计
本文通过整合观测器设计和区角分析,提出了一类非线性系统的致动器故障和状态区间估计方法。针对所考虑的系统,我们提出了一种应用广泛的新型未知输入观测器结构。设计程序基于 H∞ 方法,以减少未知但有界的过程干扰和测量噪声的影响。此外,还提出了一种基于区角分析的新型区间估计方法,以获得更紧密的区间。对一个四重罐系统进行了数值模拟,以评估所提出方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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