The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Maxime Wack - One of the best experts on this subject based on the ideXlab platform.
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Adaptive second order sliding mode observer based fault reconstruction for pem fuel cell air feed system
IEEE Transactions on Control Systems and Technology, 2015Co-Authors: Salah Laghrouche, Jianxing Liu, Mohamed Harmouche, Fayez Shakil Ahmed, Maxime WackAbstract:This paper presents an observer-based fault reconstruction method for PEM fuel cells. This method extends the results of a class of nonlinear uncertain systems with Lipschitz nonlinearities. An Adaptive-Gain second-order sliding mode (SOSM) observer is developed for observing the system states, where the Adaptive law estimates the uncertain parameters. The inherent equivalent output error injection feature of SOSM algorithm is then used to reconstruct the fault signal. The performance of the proposed observer is validated through a hardware-in-loop emulator. The experimental results illustrate the feasibility and effectiveness of the proposed approach for application to fuel cell air-feed systems.
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Adaptive Gain second order sliding mode observer design for switching power converters
Control Engineering Practice, 2014Co-Authors: Jianxing Liu, Salah Laghrouche, Mohamed Harmouche, Maxime WackAbstract:In this paper, an Adaptive-Gain, Second Order Sliding Mode (SOSM) observer for multi-cell converters is designed by considering it as a type of hybrid system. The objective is to reduce the number of voltage sensors by estimating the capacitor voltages from measurement of the load current. The proposed observer is proven to be robust in the presence of perturbations with unknown boundaries. As the states of the system are only partially observable, a recent concept known as Z(TN)-observability is used to address the switching behavior. Multi-rate simulation results demonstrate the effectiveness and the robustness of the proposed observer with respect to output measurement noise and system uncertainty (load variations).
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Adaptive Gain second order sliding mode observer design for switching power converters
arXiv: Systems and Control, 2013Co-Authors: Jianxing Liu, Salah Laghrouche, Mohamed Harmouche, Maxime WackAbstract:In this paper, a novel Adaptive-Gain Second Order Sliding Mode (SOSM) observer is proposed for multicell converters by considering it as a class of hybrid systems. The aim is to reduce the number of voltage sensors by estimating the capacitor voltages only from the measurement of load current. The proposed observer is proven to be robust in the presence of perturbations with \emph{unknown} boundary. However, the states of the system are only partially observable in the sense of observability rank condition. Due to its switching behavior, a recent concept of $Z(T_N)$ observability is used to analysis its hybrid observability, since its observability depends upon the switching control signals. Under certain condition of the switching sequences, the voltage across each capacitor becomes observable. Simulation results and comparisons with Luenberger switched observer highlight the effectiveness and robustness of the proposed observer with respect to output measurement noise and system uncertainties (load variations).
Youdan Kim - One of the best experts on this subject based on the ideXlab platform.
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Adaptive controller design for spacecraft formation flying using sliding mode controller and neural networks
Journal of The Franklin Institute-engineering and Applied Mathematics, 2012Co-Authors: Jonghee Bae, Youdan KimAbstract:Abstract A spacecraft formation flying controller is designed using a sliding mode control scheme with the Adaptive Gain and neural networks. Six-degree-of-freedom spacecraft nonlinear dynamic model is considered, and a leader–follower approach is adopted for efficient spacecraft formation flying. Uncertainties and external disturbances have effects on controlling the relative position and attitude of the spacecrafts in the formation. The main benefit of the sliding mode control is the robust stability of the closed-loop system. To improve the performance of the sliding mode control, an Adaptive controller based on neural networks is used to compensate for the effects of the modeling error, external disturbance, and nonlinearities. The stability analysis of the closed-loop system is performed using the Lyapunov stability theorem. A spacecraft model with 12 thrusts as actuators is considered for controlling the relative position and attitude of the follower spacecraft. Numerical simulation results are presented to show the effectiveness of the proposed controller.
Jonghee Bae - One of the best experts on this subject based on the ideXlab platform.
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Adaptive controller design for spacecraft formation flying using sliding mode controller and neural networks
Journal of The Franklin Institute-engineering and Applied Mathematics, 2012Co-Authors: Jonghee Bae, Youdan KimAbstract:Abstract A spacecraft formation flying controller is designed using a sliding mode control scheme with the Adaptive Gain and neural networks. Six-degree-of-freedom spacecraft nonlinear dynamic model is considered, and a leader–follower approach is adopted for efficient spacecraft formation flying. Uncertainties and external disturbances have effects on controlling the relative position and attitude of the spacecrafts in the formation. The main benefit of the sliding mode control is the robust stability of the closed-loop system. To improve the performance of the sliding mode control, an Adaptive controller based on neural networks is used to compensate for the effects of the modeling error, external disturbance, and nonlinearities. The stability analysis of the closed-loop system is performed using the Lyapunov stability theorem. A spacecraft model with 12 thrusts as actuators is considered for controlling the relative position and attitude of the follower spacecraft. Numerical simulation results are presented to show the effectiveness of the proposed controller.
Jianxing Liu - One of the best experts on this subject based on the ideXlab platform.
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Adaptive second order sliding mode observer based fault reconstruction for pem fuel cell air feed system
IEEE Transactions on Control Systems and Technology, 2015Co-Authors: Salah Laghrouche, Jianxing Liu, Mohamed Harmouche, Fayez Shakil Ahmed, Maxime WackAbstract:This paper presents an observer-based fault reconstruction method for PEM fuel cells. This method extends the results of a class of nonlinear uncertain systems with Lipschitz nonlinearities. An Adaptive-Gain second-order sliding mode (SOSM) observer is developed for observing the system states, where the Adaptive law estimates the uncertain parameters. The inherent equivalent output error injection feature of SOSM algorithm is then used to reconstruct the fault signal. The performance of the proposed observer is validated through a hardware-in-loop emulator. The experimental results illustrate the feasibility and effectiveness of the proposed approach for application to fuel cell air-feed systems.
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Adaptive Gain second order sliding mode observer design for switching power converters
Control Engineering Practice, 2014Co-Authors: Jianxing Liu, Salah Laghrouche, Mohamed Harmouche, Maxime WackAbstract:In this paper, an Adaptive-Gain, Second Order Sliding Mode (SOSM) observer for multi-cell converters is designed by considering it as a type of hybrid system. The objective is to reduce the number of voltage sensors by estimating the capacitor voltages from measurement of the load current. The proposed observer is proven to be robust in the presence of perturbations with unknown boundaries. As the states of the system are only partially observable, a recent concept known as Z(TN)-observability is used to address the switching behavior. Multi-rate simulation results demonstrate the effectiveness and the robustness of the proposed observer with respect to output measurement noise and system uncertainty (load variations).
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Adaptive Gain second order sliding mode observer design for switching power converters
arXiv: Systems and Control, 2013Co-Authors: Jianxing Liu, Salah Laghrouche, Mohamed Harmouche, Maxime WackAbstract:In this paper, a novel Adaptive-Gain Second Order Sliding Mode (SOSM) observer is proposed for multicell converters by considering it as a class of hybrid systems. The aim is to reduce the number of voltage sensors by estimating the capacitor voltages only from the measurement of load current. The proposed observer is proven to be robust in the presence of perturbations with \emph{unknown} boundary. However, the states of the system are only partially observable in the sense of observability rank condition. Due to its switching behavior, a recent concept of $Z(T_N)$ observability is used to analysis its hybrid observability, since its observability depends upon the switching control signals. Under certain condition of the switching sequences, the voltage across each capacitor becomes observable. Simulation results and comparisons with Luenberger switched observer highlight the effectiveness and robustness of the proposed observer with respect to output measurement noise and system uncertainties (load variations).
Salah Laghrouche - One of the best experts on this subject based on the ideXlab platform.
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Adaptive second order sliding mode observer based fault reconstruction for pem fuel cell air feed system
IEEE Transactions on Control Systems and Technology, 2015Co-Authors: Salah Laghrouche, Jianxing Liu, Mohamed Harmouche, Fayez Shakil Ahmed, Maxime WackAbstract:This paper presents an observer-based fault reconstruction method for PEM fuel cells. This method extends the results of a class of nonlinear uncertain systems with Lipschitz nonlinearities. An Adaptive-Gain second-order sliding mode (SOSM) observer is developed for observing the system states, where the Adaptive law estimates the uncertain parameters. The inherent equivalent output error injection feature of SOSM algorithm is then used to reconstruct the fault signal. The performance of the proposed observer is validated through a hardware-in-loop emulator. The experimental results illustrate the feasibility and effectiveness of the proposed approach for application to fuel cell air-feed systems.
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Adaptive Gain second order sliding mode observer design for switching power converters
Control Engineering Practice, 2014Co-Authors: Jianxing Liu, Salah Laghrouche, Mohamed Harmouche, Maxime WackAbstract:In this paper, an Adaptive-Gain, Second Order Sliding Mode (SOSM) observer for multi-cell converters is designed by considering it as a type of hybrid system. The objective is to reduce the number of voltage sensors by estimating the capacitor voltages from measurement of the load current. The proposed observer is proven to be robust in the presence of perturbations with unknown boundaries. As the states of the system are only partially observable, a recent concept known as Z(TN)-observability is used to address the switching behavior. Multi-rate simulation results demonstrate the effectiveness and the robustness of the proposed observer with respect to output measurement noise and system uncertainty (load variations).
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Adaptive Gain second order sliding mode observer design for switching power converters
arXiv: Systems and Control, 2013Co-Authors: Jianxing Liu, Salah Laghrouche, Mohamed Harmouche, Maxime WackAbstract:In this paper, a novel Adaptive-Gain Second Order Sliding Mode (SOSM) observer is proposed for multicell converters by considering it as a class of hybrid systems. The aim is to reduce the number of voltage sensors by estimating the capacitor voltages only from the measurement of load current. The proposed observer is proven to be robust in the presence of perturbations with \emph{unknown} boundary. However, the states of the system are only partially observable in the sense of observability rank condition. Due to its switching behavior, a recent concept of $Z(T_N)$ observability is used to analysis its hybrid observability, since its observability depends upon the switching control signals. Under certain condition of the switching sequences, the voltage across each capacitor becomes observable. Simulation results and comparisons with Luenberger switched observer highlight the effectiveness and robustness of the proposed observer with respect to output measurement noise and system uncertainties (load variations).