Lyapunov Function Based Flux and Speed Observer Using Advanced Non-linear Backstepping DVC for PWM-Rectifier Connected Wind-turbine-driven PM Generator
Authors
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Youcef Saidi
AffiliationElectro-Technical Engineering Laboratory (LGE), Faculty of Technology, Tahar Moulay University, P. O. B. 138, 20000 Ennasr, Saida, Algeria
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Abdelkader Mezouar
Affiliation
Electro-Technical Engineering Laboratory (LGE), Faculty of Technology, Tahar Moulay University, P. O. B. 138, 20000 Ennasr, Saida, Algeria
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Yahia Miloud
Affiliation
Department of Electrical Engineering, Faculty of Technology, Tahar Moulay University, P. O. B. 138, 20000 Ennasr, Saida, Algeria
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Mohammed Amine Benmahdjoub
Affiliation
Electro-Technical Engineering Laboratory (LGE), Faculty of Technology, Tahar Moulay University, P. O. B. 138, 20000 Ennasr, Saida, Algeria;
Electrical Energy Laboratory (EELAB), Department of Electromechanical, Systems and Metal Engineering, Faculty of Engineering and Architecture, Ghent University, Sint-Pietersnieuwstraat 41, B 9000 Ghent, Belgium -
Brahim Brahmi
Affiliation
Department of Electrical Engineering, École de Technologie Supérieure, P. O. B. H3C 1K3, 1100 Montreal, Canada
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Kamel Djamel Eddine Kerrouche
Affiliation
School of Automation on Science and Electrical Engineering, Beihang University, Haidian District, Beijing 100191, Xueyuan Road 37, China;
Satellite Development Center CDS, P. O. B. 4065, 31000 Ibn Rochd USTO, Oran, Algeria
Abstract
In this paper, modeling, and speed/position sensor-less designed Direct Voltage Control (DVC) approach based on the Lyapunov function are studied for three-phase voltage source Space Vector Pulse Width Modulation (SVPWM) Rectifier Connected to a Permanent Magnet Synchronous Generator (PMSG) Variable Speed Wind Power Generation System (VS-WPGS). This control strategy is based on voltage orientation technique without mechanical speed sensor. Advanced Non-linear Integral Backstepping Control (IBSC) of the Generator Side Converter (GSC) has the ability to have a good regulation of the DC link voltage to meet the requirements necessary to achieve optimal system operation, regardless of the disturbances caused by the characteristics of the drive train or some changes into the DC load. The estimation of the speed is based on Model Reference Adaptive System (MRAS) method. This method consists in developing two models one of reference and the other adjustable for the estimation of the two d-q axis components of the stator flux from the measurement of currents, the speed estimated is obtained by canceling the difference between the reference stator flux and the adjustable one using Lyapunov criterion of hyper-stability. Some results of simulation using Matlab/Simulink® are presented, discussed to prove the efficiency and robustness of the system control policy for WPGS against external and internal perturbations.
