Observer-Based Fault-Tolerant Predictive Control for LPV Systems with Sensor Faults: An Active Car Suspension Application
In this paper, an observer-based robust fault-tolerant predictive control (ORFTPC) strategy is proposed for Linear Parameter-Varying (LPV) systems subject to input constraints and sensor failures. The main objective of this work is to establish a real observer based on a virtual observer to be used...
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MDPI AG
2022-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/2/684 |
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| author | Abdelaziz Abboudi Sofiane Bououden Mohammed Chadli Ilyes Boulkaibet Bilel Neji |
| author_facet | Abdelaziz Abboudi Sofiane Bououden Mohammed Chadli Ilyes Boulkaibet Bilel Neji |
| author_sort | Abdelaziz Abboudi |
| collection | DOAJ |
| description | In this paper, an observer-based robust fault-tolerant predictive control (ORFTPC) strategy is proposed for Linear Parameter-Varying (LPV) systems subject to input constraints and sensor failures. The main objective of this work is to establish a real observer based on a virtual observer to be used to estimate both states and sensor failures of the system. The proposed virtual observer is employed to improve the observation precision and reduce the impacts of the sensor faults and the external disturbances in the LPV systems. In addition, a real observer is proposed to overcome the virtual observer margins and to ensure that all states and sensor faults of the system are properly estimated, without the need for any fault isolation modules. The proposed solution demonstrates that, using both observers, a robust fault-tolerant predictive control is established via the Lyapunov function. Moreover, sufficient stability conditions are derived using the Lyapunov approach for the convergence of the proposed robust controller. Furthermore, the proposed approach simultaneously computes the gains of the real observer and the controller from a linear matrix inequality (LMI), which is deduced from the estimation errors. Finally, the performance of the proposed approach is investigated by a simulation example of a quarter-vehicle model, and the simulation results under a sensor fault illustrate the robustness and performance of the proposed method. |
| first_indexed | 2024-03-10T01:58:48Z |
| format | Article |
| id | doaj.art-5446365ead1b46b3bec1de221f332199 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T01:58:48Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5446365ead1b46b3bec1de221f3321992023-11-23T12:51:01ZengMDPI AGApplied Sciences2076-34172022-01-0112268410.3390/app12020684Observer-Based Fault-Tolerant Predictive Control for LPV Systems with Sensor Faults: An Active Car Suspension ApplicationAbdelaziz Abboudi0Sofiane Bououden1Mohammed Chadli2Ilyes Boulkaibet3Bilel Neji4Laboratory of ISMA, Department of Mechanical Engineering, Faculty of Sciences and Technology, Abbes Laghrour University, Khenchela 40004, AlgeriaLaboratory of SATIT, Department of Industrial Engineering, Abbes Laghrour University, Khenchela 40004, AlgeriaIBISC, Université Paris-Saclay, Univ Evry, 91020 Evry, FranceCollege of Engineering and Technology, American University of the Middle East, Egaila 54200, KuwaitCollege of Engineering and Technology, American University of the Middle East, Egaila 54200, KuwaitIn this paper, an observer-based robust fault-tolerant predictive control (ORFTPC) strategy is proposed for Linear Parameter-Varying (LPV) systems subject to input constraints and sensor failures. The main objective of this work is to establish a real observer based on a virtual observer to be used to estimate both states and sensor failures of the system. The proposed virtual observer is employed to improve the observation precision and reduce the impacts of the sensor faults and the external disturbances in the LPV systems. In addition, a real observer is proposed to overcome the virtual observer margins and to ensure that all states and sensor faults of the system are properly estimated, without the need for any fault isolation modules. The proposed solution demonstrates that, using both observers, a robust fault-tolerant predictive control is established via the Lyapunov function. Moreover, sufficient stability conditions are derived using the Lyapunov approach for the convergence of the proposed robust controller. Furthermore, the proposed approach simultaneously computes the gains of the real observer and the controller from a linear matrix inequality (LMI), which is deduced from the estimation errors. Finally, the performance of the proposed approach is investigated by a simulation example of a quarter-vehicle model, and the simulation results under a sensor fault illustrate the robustness and performance of the proposed method.https://www.mdpi.com/2076-3417/12/2/684linear parameter-varying systems (LPV)sensor faultsobserverstolerant predictive controlinput constraintsactive vehicle suspension |
| spellingShingle | Abdelaziz Abboudi Sofiane Bououden Mohammed Chadli Ilyes Boulkaibet Bilel Neji Observer-Based Fault-Tolerant Predictive Control for LPV Systems with Sensor Faults: An Active Car Suspension Application Applied Sciences linear parameter-varying systems (LPV) sensor faults observers tolerant predictive control input constraints active vehicle suspension |
| title | Observer-Based Fault-Tolerant Predictive Control for LPV Systems with Sensor Faults: An Active Car Suspension Application |
| title_full | Observer-Based Fault-Tolerant Predictive Control for LPV Systems with Sensor Faults: An Active Car Suspension Application |
| title_fullStr | Observer-Based Fault-Tolerant Predictive Control for LPV Systems with Sensor Faults: An Active Car Suspension Application |
| title_full_unstemmed | Observer-Based Fault-Tolerant Predictive Control for LPV Systems with Sensor Faults: An Active Car Suspension Application |
| title_short | Observer-Based Fault-Tolerant Predictive Control for LPV Systems with Sensor Faults: An Active Car Suspension Application |
| title_sort | observer based fault tolerant predictive control for lpv systems with sensor faults an active car suspension application |
| topic | linear parameter-varying systems (LPV) sensor faults observers tolerant predictive control input constraints active vehicle suspension |
| url | https://www.mdpi.com/2076-3417/12/2/684 |
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