Observer-Based Robust Fault Predictive Control for Wind Turbine Time-Delay Systems with Sensor and Actuator Faults

Sofiane Bououden (), Fouad Allouani, Abdelaziz Abboudi, Mohammed Chadli, Ilyes Boulkaibet, Zaher Al Barakeh, Bilel Neji and Raymond Ghandour
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Sofiane Bououden: Laboratory of SATIT, Department of Industrial Engineering, Abbes Laghrour University, Khenchela 40004, Algeria
Fouad Allouani: Laboratory of SATIT, Department of Industrial Engineering, Abbes Laghrour University, Khenchela 40004, Algeria
Abdelaziz Abboudi: Department of Mechanical Engineering, Faculty of Sciences and Technology, Abbes Laghrour University, Khenchela 40004, Algeria
Mohammed Chadli: IBISC, Université Paris-Saclay, Univ Evry, Val d’Essonne, 91020 Evry, France
Ilyes Boulkaibet: College of Engineering and Technology, American University of the Middle East, Kuwait
Zaher Al Barakeh: College of Engineering and Technology, American University of the Middle East, Kuwait
Bilel Neji: College of Engineering and Technology, American University of the Middle East, Kuwait
Raymond Ghandour: College of Engineering and Technology, American University of the Middle East, Kuwait

Energies, 2023, vol. 16, issue 2, 1-21

Abstract: This paper presents a novel observer-based robust fault predictive control (OBRFPC) approach for a wind turbine time-delay system subject to constraints, actuator/sensor faults, and external disturbances. The proposed approach is based on an augmented state-space representation that contains state-space variables and estimation errors. The proposed augmented representation is then used to synthesize a robust predictive controller. In addition, an observer is developed and used to estimate both state variables and actuator/sensor faults. To ensure that the proposed approach has disturbance rejection capabilities, the disturbance estimates were merged with the prediction model. In addition, the disturbance rejection capabilities and fault tolerance were insured by formulating the control process as an optimization problem subject to constraints in terms of linear matrix inequalities (LMIs). As a result, the controller gains are acquired by solving an LMI problem to guarantee input-to-state stability in the presence of sensor and actuator faults. A simulation example is conducted on a nonlinear wind turbine (1 MW) model with 3 blades, a horizontal axis, and upwind variable speed subject to actuator/sensor faults in the pitch system. The results demonstrate the ability of the proposed method in dealing with nonlinear systems subject to external disturbances and keeping the control performance acceptable in the presence of actuator/sensor faults.

Keywords: robust model predictive control; fault-tolerant control; observer-based control; sensor and actuator faults; linear matrix inequalities (LMIs); wind turbine model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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