基于观测器和混合自动机的混合系统诊断新方法

Q4 Computer Science
A. Abboudi, F. Belmajdoub
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引用次数: 3

摘要

提出了一种基于混合观测器和混合自动机的混合动力系统故障检测与隔离的新方法。提出了一种动态观测器的设计方法。混合观测器由两个块组成:一个是识别当前模式的位置观测器,一个是检测故障的连续观测器。虽然这种方法很有趣,但它仍然无法即时检测连续状态的变化;当系统出现故障时,系统无法正确识别故障模式。本文提出了一种新的诊断方法,对该方法进行了改进,取得了较好的诊断效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Diagnosis Approach of Hybrid Systems through Observers and Hybrid Automata
This paper gives a new approach of fault detection and isolation of hybrid dynamical systems based on hybrid observers and hybrid automata; a methodology for the design of dynamical observers has been proposed. The hybrid observer composed of two blocks: a location observer that identifies the current mode and a continuous observer that detects faults. Although this approach is interesting, it is still unable to detect instantly the change of the continuous state; as a result and in case of a fault, the system can't identify correctly the defected mode. In this paper, a new version is proposed to improve this approach and reach good diagnosis results.
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来源期刊
International Journal of Automation and Smart Technology
International Journal of Automation and Smart Technology Engineering-Electrical and Electronic Engineering
CiteScore
0.70
自引率
0.00%
发文量
0
审稿时长
16 weeks
期刊介绍: International Journal of Automation and Smart Technology (AUSMT) is a peer-reviewed, open-access journal devoted to publishing research papers in the fields of automation and smart technology. Currently, the journal is abstracted in Scopus, INSPEC and DOAJ (Directory of Open Access Journals). The research areas of the journal include but are not limited to the fields of mechatronics, automation, ambient Intelligence, sensor networks, human-computer interfaces, and robotics. These technologies should be developed with the major purpose to increase the quality of life as well as to work towards environmental, economic and social sustainability for future generations. AUSMT endeavors to provide a worldwide forum for the dynamic exchange of ideas and findings from research of different disciplines from around the world. Also, AUSMT actively seeks to encourage interaction and cooperation between academia and industry along the fields of automation and smart technology. For the aforementioned purposes, AUSMT maps out 5 areas of interests. Each of them represents a pillar for better future life: - Intelligent Automation Technology. - Ambient Intelligence, Context Awareness, and Sensor Networks. - Human-Computer Interface. - Optomechatronic Modules and Systems. - Robotics, Intelligent Devices and Systems.
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