Robust sensor fault estimation for control systems affected by friction force
Joint Authors
Ahmad, Rua Hamid
Shakir, Muntazar Sami
Source
Iraqi Journal of Computer, Communications and Control Engineering
Issue
Vol. 22, Issue 3 (30 Sep. 2022), pp.34-47, 14 p.
Publisher
Publication Date
2022-09-30
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Abstract EN
The paper presents an observer-based estimation of sensor fault for control systems affected by friction force.
In such systems, the non-linearity of friction force leads to deteriorating sensor fault estimation capability of the observer.
Hence, the challenge is to design an observer capable of attaining robust sensor fault estimation while avoiding the effects of friction.
To overcome the highlighted challenge, an Unknown Input Observer (UIO) is designed to decouple the effects of friction as well as to estimate the state and sensor fault.The benefit of proposing UIO is to guarantee robust sensor fault estimation despite the highly non-linear disturbance in the form of friction.
The gains of the UIO are computed through a single–step linear matrix inequality.
Finally, an inverted pendulum simulation is presented to demonstrate the novel approach's performance effectiveness.
American Psychological Association (APA)
Ahmad, Rua Hamid& Shakir, Muntazar Sami. 2022. Robust sensor fault estimation for control systems affected by friction force. Iraqi Journal of Computer, Communications and Control Engineering،Vol. 22, no. 3, pp.34-47.
https://search.emarefa.net/detail/BIM-1492774
Modern Language Association (MLA)
Ahmad, Rua Hamid& Shakir, Muntazar Sami. Robust sensor fault estimation for control systems affected by friction force. Iraqi Journal of Computer, Communications and Control Engineering Vol. 22, no. 3 (Sep. 2022), pp.34-47.
https://search.emarefa.net/detail/BIM-1492774
American Medical Association (AMA)
Ahmad, Rua Hamid& Shakir, Muntazar Sami. Robust sensor fault estimation for control systems affected by friction force. Iraqi Journal of Computer, Communications and Control Engineering. 2022. Vol. 22, no. 3, pp.34-47.
https://search.emarefa.net/detail/BIM-1492774
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 46-47
Record ID
BIM-1492774