Cargando…
Design of Active Fault-Tolerant Control System for Air-Fuel Ratio control of Internal Combustion engine using nonlinear regression-based observer model
Internal Combustion (IC) engines are prevalent in the process sector, and maintaining sufficient Air-Fuel Ratio (AFR) regulation in their fuel system is crucial for enhanced engine performance, fuel economy, and environmental safety. Faults in the AFR system’s sensors cause the engine to shut down,...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754611/ https://www.ncbi.nlm.nih.gov/pubmed/36520952 http://dx.doi.org/10.1371/journal.pone.0279101 |
_version_ | 1784851238930612224 |
---|---|
author | Alsuwian, Turki Amin, Arslan Ahmed Iqbal, Muhammad Sajid Qadir, Muhammad Bilal Almasabi, Saleh Jalalah, Mohammed |
author_facet | Alsuwian, Turki Amin, Arslan Ahmed Iqbal, Muhammad Sajid Qadir, Muhammad Bilal Almasabi, Saleh Jalalah, Mohammed |
author_sort | Alsuwian, Turki |
collection | PubMed |
description | Internal Combustion (IC) engines are prevalent in the process sector, and maintaining sufficient Air-Fuel Ratio (AFR) regulation in their fuel system is crucial for enhanced engine performance, fuel economy, and environmental safety. Faults in the AFR system’s sensors cause the engine to shut down, hence, fault tolerance is essential. In order to avoid engine shutdown, this paper offers a novel Active Fault-Tolerant Control System (AFTCS) for air-fuel ratio control of an Internal Combustion (IC) engine in a process plant. In the Fault Detection and Isolation (FDI) unit, the proposed AFTCS uses a nonlinear regression-based observer model for analytical redundancy. The suggested system was simulated in the MATLAB / Simulink environment. The proposed system was tested at two different speeds (300 r/min and 600 r/min) and the results show that the system’s response is within the acceptable bound without compromising the stability. The findings also demonstrate the higher fault tolerance capability for sensor defects of the AFR control system, particularly for the MAP sensor (at 300 r/min) in terms of reduced oscillatory response in comparison to the current literature. Compared to the linear regression-based and Genetic Algorithm (GA) based model, the nonlinear regression-based model results in a more accurate estimation of the faulty sensors. The proposed model is also efficient in terms of computation power and response time. |
format | Online Article Text |
id | pubmed-9754611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-97546112022-12-16 Design of Active Fault-Tolerant Control System for Air-Fuel Ratio control of Internal Combustion engine using nonlinear regression-based observer model Alsuwian, Turki Amin, Arslan Ahmed Iqbal, Muhammad Sajid Qadir, Muhammad Bilal Almasabi, Saleh Jalalah, Mohammed PLoS One Research Article Internal Combustion (IC) engines are prevalent in the process sector, and maintaining sufficient Air-Fuel Ratio (AFR) regulation in their fuel system is crucial for enhanced engine performance, fuel economy, and environmental safety. Faults in the AFR system’s sensors cause the engine to shut down, hence, fault tolerance is essential. In order to avoid engine shutdown, this paper offers a novel Active Fault-Tolerant Control System (AFTCS) for air-fuel ratio control of an Internal Combustion (IC) engine in a process plant. In the Fault Detection and Isolation (FDI) unit, the proposed AFTCS uses a nonlinear regression-based observer model for analytical redundancy. The suggested system was simulated in the MATLAB / Simulink environment. The proposed system was tested at two different speeds (300 r/min and 600 r/min) and the results show that the system’s response is within the acceptable bound without compromising the stability. The findings also demonstrate the higher fault tolerance capability for sensor defects of the AFR control system, particularly for the MAP sensor (at 300 r/min) in terms of reduced oscillatory response in comparison to the current literature. Compared to the linear regression-based and Genetic Algorithm (GA) based model, the nonlinear regression-based model results in a more accurate estimation of the faulty sensors. The proposed model is also efficient in terms of computation power and response time. Public Library of Science 2022-12-15 /pmc/articles/PMC9754611/ /pubmed/36520952 http://dx.doi.org/10.1371/journal.pone.0279101 Text en © 2022 Alsuwian et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Alsuwian, Turki Amin, Arslan Ahmed Iqbal, Muhammad Sajid Qadir, Muhammad Bilal Almasabi, Saleh Jalalah, Mohammed Design of Active Fault-Tolerant Control System for Air-Fuel Ratio control of Internal Combustion engine using nonlinear regression-based observer model |
title | Design of Active Fault-Tolerant Control System for Air-Fuel Ratio control of Internal Combustion engine using nonlinear regression-based observer model |
title_full | Design of Active Fault-Tolerant Control System for Air-Fuel Ratio control of Internal Combustion engine using nonlinear regression-based observer model |
title_fullStr | Design of Active Fault-Tolerant Control System for Air-Fuel Ratio control of Internal Combustion engine using nonlinear regression-based observer model |
title_full_unstemmed | Design of Active Fault-Tolerant Control System for Air-Fuel Ratio control of Internal Combustion engine using nonlinear regression-based observer model |
title_short | Design of Active Fault-Tolerant Control System for Air-Fuel Ratio control of Internal Combustion engine using nonlinear regression-based observer model |
title_sort | design of active fault-tolerant control system for air-fuel ratio control of internal combustion engine using nonlinear regression-based observer model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754611/ https://www.ncbi.nlm.nih.gov/pubmed/36520952 http://dx.doi.org/10.1371/journal.pone.0279101 |
work_keys_str_mv | AT alsuwianturki designofactivefaulttolerantcontrolsystemforairfuelratiocontrolofinternalcombustionengineusingnonlinearregressionbasedobservermodel AT aminarslanahmed designofactivefaulttolerantcontrolsystemforairfuelratiocontrolofinternalcombustionengineusingnonlinearregressionbasedobservermodel AT iqbalmuhammadsajid designofactivefaulttolerantcontrolsystemforairfuelratiocontrolofinternalcombustionengineusingnonlinearregressionbasedobservermodel AT qadirmuhammadbilal designofactivefaulttolerantcontrolsystemforairfuelratiocontrolofinternalcombustionengineusingnonlinearregressionbasedobservermodel AT almasabisaleh designofactivefaulttolerantcontrolsystemforairfuelratiocontrolofinternalcombustionengineusingnonlinearregressionbasedobservermodel AT jalalahmohammed designofactivefaulttolerantcontrolsystemforairfuelratiocontrolofinternalcombustionengineusingnonlinearregressionbasedobservermodel |