Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory

The main focus of this research is to incorporate behavioral approach to systems theory for modelling and analysis of sensor fault tolerant control system (FTCS). The behavioral based approach to systems theory offer a more characteristic or more natural starting point in which the behavior of a sys...

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Main Author: Ng, Peng Hong
Format: Thesis
Language:English
English
Published: 2015
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spelling my.ums.eprints.429462025-03-03T23:46:44Z https://eprints.ums.edu.my/id/eprint/42946/ Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory Ng, Peng Hong TJ212-225 Control engineering systems. Automatic machinery (General) The main focus of this research is to incorporate behavioral approach to systems theory for modelling and analysis of sensor fault tolerant control system (FTCS). The behavioral based approach to systems theory offer a more characteristic or more natural starting point in which the behavior of a system can be defined as the set of all trajectories of the system variables with respect to time according to the mathematical model. Fault related parameters thus can be considered as subsets of the abovementioned trajectories and therefore can be modelled and analysed. Mathematical models of the plants are first derived through the description of the manifest behavior by elimination of the latent variables via a systematic algorithm. Next, the algorithms for obtaining controllers using pole placement techniques are developed based on specified nominal control laws to retain all the desirable trajectories in the plant behavior while rejecting the undesirable ones. State observers are then implemented as the fault detection method in which the discrepancies between the measured values by the sensors and the values of the model are expressed as residuals. The effects of sensor faults in terms of sensor fault scenarios are investigated in the case studies. Finally, the algorithm to obtain a general FTCS framework is developed to provide compensation of the sensor faults through the introduction of a new control law unto the existing nominal one. Results of the case studies showed that performance of the systems can be maintained even in the presence of the sensor faults by incorporating the derived FTCS, most noticeably in the case of total sensors failures. The FTCS is also observed to possess desirable properties including robustness against sensor faults conditions and also sensitive to the disturbance effect. 2015 Thesis NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42946/1/24%20PAGES.pdf text en https://eprints.ums.edu.my/id/eprint/42946/2/FULLTEXT.pdf Ng, Peng Hong (2015) Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory. Masters thesis, Universiti Malaysia Sabah.
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic TJ212-225 Control engineering systems. Automatic machinery (General)
spellingShingle TJ212-225 Control engineering systems. Automatic machinery (General)
Ng, Peng Hong
Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory
description The main focus of this research is to incorporate behavioral approach to systems theory for modelling and analysis of sensor fault tolerant control system (FTCS). The behavioral based approach to systems theory offer a more characteristic or more natural starting point in which the behavior of a system can be defined as the set of all trajectories of the system variables with respect to time according to the mathematical model. Fault related parameters thus can be considered as subsets of the abovementioned trajectories and therefore can be modelled and analysed. Mathematical models of the plants are first derived through the description of the manifest behavior by elimination of the latent variables via a systematic algorithm. Next, the algorithms for obtaining controllers using pole placement techniques are developed based on specified nominal control laws to retain all the desirable trajectories in the plant behavior while rejecting the undesirable ones. State observers are then implemented as the fault detection method in which the discrepancies between the measured values by the sensors and the values of the model are expressed as residuals. The effects of sensor faults in terms of sensor fault scenarios are investigated in the case studies. Finally, the algorithm to obtain a general FTCS framework is developed to provide compensation of the sensor faults through the introduction of a new control law unto the existing nominal one. Results of the case studies showed that performance of the systems can be maintained even in the presence of the sensor faults by incorporating the derived FTCS, most noticeably in the case of total sensors failures. The FTCS is also observed to possess desirable properties including robustness against sensor faults conditions and also sensitive to the disturbance effect.
format Thesis
author Ng, Peng Hong
author_facet Ng, Peng Hong
author_sort Ng, Peng Hong
title Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory
title_short Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory
title_full Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory
title_fullStr Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory
title_full_unstemmed Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory
title_sort modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory
publishDate 2015
url https://eprints.ums.edu.my/id/eprint/42946/1/24%20PAGES.pdf
https://eprints.ums.edu.my/id/eprint/42946/2/FULLTEXT.pdf
https://eprints.ums.edu.my/id/eprint/42946/
_version_ 1825809963646189568
score 13.244413