A New Active Fault Tolerant Control System: Predictive Online Fault Estimation

This study presents a new approach for active fault-tolerant controller (FTC) design for constrained nonlinear multi-variable systems. The proposed approach utilize the nonlinear model predictive controller (NMPC) and fault estimation method which is on basis of extended kalman filters (EKFs). The d...

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Veröffentlicht in:IEEE access 2021, Vol.9, p.118461-118471
Hauptverfasser: Bavili, Robab Ebrahimi, Mohammadzadeh, Ardashir, Tavoosi, Jafar, Mobayen, Saleh, Assawinchaichote, Wudhichai, Asad, Jihad H., Mosavi, Amir H.
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container_start_page 118461
container_title IEEE access
container_volume 9
creator Bavili, Robab Ebrahimi
Mohammadzadeh, Ardashir
Tavoosi, Jafar
Mobayen, Saleh
Assawinchaichote, Wudhichai
Asad, Jihad H.
Mosavi, Amir H.
description This study presents a new approach for active fault-tolerant controller (FTC) design for constrained nonlinear multi-variable systems. The proposed approach utilize the nonlinear model predictive controller (NMPC) and fault estimation method which is on basis of extended kalman filters (EKFs). The deficiency of actuators and sensors and also the plant states measurement errors are estimated by the suggested approach. A supervisor unit using the fault information and fault modeling per sampling time, corrects the predictor model of the controller and compensates actuator and sensor faults in control system. Furthermore, by the presented feedback compensation, the robustness of the designed method against plant faults and uncertainties is ensured. The important advantages of the proposed method are: (1) The suggested FTC scheme based on NMPC leads to calculate more accurate control action than MPC in nonlinear processes, (2) it is comprehensive in fault accommodation point of view because it is able to compensate all types of faults in control systems simultaneously, (3) it has low computational cost because of using NMPC by analytical solution, (4) it can handle control and states constraints to prevent of actuator saturations and unsafe situations, (5) the simplicity and effectiveness of the designed FTC scheme for real applications is more significant. Simulation results on continuous stirred tank reactor process verifies the superiority and capability of the designed approach.
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The proposed approach utilize the nonlinear model predictive controller (NMPC) and fault estimation method which is on basis of extended kalman filters (EKFs). The deficiency of actuators and sensors and also the plant states measurement errors are estimated by the suggested approach. A supervisor unit using the fault information and fault modeling per sampling time, corrects the predictor model of the controller and compensates actuator and sensor faults in control system. Furthermore, by the presented feedback compensation, the robustness of the designed method against plant faults and uncertainties is ensured. The important advantages of the proposed method are: (1) The suggested FTC scheme based on NMPC leads to calculate more accurate control action than MPC in nonlinear processes, (2) it is comprehensive in fault accommodation point of view because it is able to compensate all types of faults in control systems simultaneously, (3) it has low computational cost because of using NMPC by analytical solution, (4) it can handle control and states constraints to prevent of actuator saturations and unsafe situations, (5) the simplicity and effectiveness of the designed FTC scheme for real applications is more significant. Simulation results on continuous stirred tank reactor process verifies the superiority and capability of the designed approach.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2021.3107282</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Active control ; Actuators ; Constraints ; Continuously stirred tank reactors ; Control systems design ; Controllers ; Cost analysis ; Exact solutions ; Extended Kalman filter ; fault modeling ; Fault tolerance ; Fault tolerant systems ; Fault-tolerant controller ; Faults ; Nonlinear control ; Nonlinear systems ; Predictive control ; predictive control method ; Predictive models ; robustness ; Sensors ; Trajectory ; Uncertainty</subject><ispartof>IEEE access, 2021, Vol.9, p.118461-118471</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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subjects Active control
Actuators
Constraints
Continuously stirred tank reactors
Control systems design
Controllers
Cost analysis
Exact solutions
Extended Kalman filter
fault modeling
Fault tolerance
Fault tolerant systems
Fault-tolerant controller
Faults
Nonlinear control
Nonlinear systems
Predictive control
predictive control method
Predictive models
robustness
Sensors
Trajectory
Uncertainty
title A New Active Fault Tolerant Control System: Predictive Online Fault Estimation
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