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Murdochville, Canada

Merabet A.,Saint Marys University, Halifax | Beguenane R.,Royal Military College of Canada | Thongam J.S.,PowerEnerSys Inc. | Hussein I.,Wind Energy TechnoCentre
IECON Proceedings (Industrial Electronics Conference) | Year: 2011

An adaptive sliding mode control strategy for speed tracking problem in variable speed wind turbine systems is presented in this work. The proposed adaptation strategy consists on updating the sliding gain and the turbine torque, which is considered unknown by the controller. The adaptation algorithms for the sliding gain and the torque estimation are carried out using the sliding surface to overcome the drawbacks of the conventional sliding mode control. The objective is to track a speed profile to operate the wind turbine in maximum power extraction. Simulation results are provided to validate the effectiveness of the proposed control system. © 2011 IEEE. Source


Tawfique K.A.,Saint Marys University, Halifax | Merabet A.,Saint Marys University, Halifax | Ibrahim H.,Wind Energy TechnoCentre | Beguenane R.,Royal Military College of Canada
2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016 | Year: 2016

This paper presents a control strategy for a standalone wind energy conversion system. A Dynamometer based wind turbine emulator is connected to a permanent magnet synchronous generator, whose output is fed to a rectifier. The bidirectional converter placed between battery and dc-link voltage, is used to charge/discharge the battery according to the generated power and to keep dc link voltage constant. The single phase inverter controls the load voltage under various wind condition. The control system includes a voltage/current controller for the battery and voltage controller for the load side. The proposed system is experimentally tested using OPAL-RT real time Hardware-in-Loop system. © 2016 IEEE. Source


Ahmed K.T.,Saint Marys University, Halifax | Merabet A.,Saint Marys University, Halifax | Merabet A.,University of Sharjah | Beguenane R.,Royal Military College of Canada | And 2 more authors.
2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016 | Year: 2016

This paper presents a control strategy for solar energy conversion system for DC microgrid. The energy system includes a storage device for standalone applications. Incremental conductance method has been adopted for maximum power point tracking in order to improve the efficiency of the system. The bidirectional converter, placed between the battery and the DC-link voltage, is controlled to charge/discharge the battery according to the generated power and to keep the DC-link voltage constant. Real time simulator has been used for parallel and distributed computing to maximize the controller efficiency. The proposed system is experimentally tested using OPAL-RT real time simulator. © 2016 IEEE. Source


Merabet A.,Saint Marys University, Halifax | Rajasekaran V.,Saint Marys University, Halifax | McMullin A.,Saint Marys University, Halifax | Ibrahim H.,Wind Energy TechnoCentre | And 2 more authors.
Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering | Year: 2013

In this article, the problem of tracking control for variable speed induction generator-wind energy conversion system is investigated using nonlinear predictive control. A rotor speed predictive control algorithm has been designed to control the angular speed of the machine in order to allow the wind energy conversion system to operate with maximum power extraction. The generator torque and uncertainties are estimated and injected into the control law to improve the tracking performance. Control action is carried out assuming that all the states are known by measurement. Then, a state observer is implemented and Lyapunov method is used to prove the global stability of the complete continuous control scheme. Simulation is carried out to verify the performance of the proposed control system. © 2012 IMechE. Source


Ramdenee D.,University of Quebec at Rimouski | Ibrahim H.,Wind Energy TechnoCentre | Barka N.,University of Quebec at Rimouski | Ilinca A.,University of Quebec at Rimouski
International Conference on Integrated Modeling and Analysis in Applied Control and Automation | Year: 2011

Study of aeroelastic phenomena on wind turbines (WT) has become a very important issue when it comes to safety and economical considerations as WT tend towards gigantism and flexibility. At the Wind Energy Research Laboratory (WERL), several studies and papers have been produced, all focusing on computational fluid dynamics (CFD) approaches to model and simulate different aeroleastic phenomena. Despite very interesting obtained results; CFD is very costly and difficult to be directly used for control purposes due to consequent computational time. This paper, hence, describes a complementary lumped system approach to CFD to model flutter phenomenon. This model is based on a described Matlab-Simulink model that integrates turbulence characteristics as well as characteristics aerodynamic physics. From this model, we elaborate on flutter Eigen modes and Eigen values in an aim to apply control strategies and relates ANSYS based CFD modeling to the lumped system. Source

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