Speed Sensor-Less Vector Control Used in DFIG Wind Power Generation Based on EKF Algorithm

Bei Hu; Pan Duan; Shi Cheng Feng; Qi Chang Duan; Ming Xuan Mao

doi:10.4028/www.scientific.net/AMM.654.196

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 654Speed Sensor-Less Vector Control Used in DFIG Wind...

Speed Sensor-Less Vector Control Used in DFIG Wind Power Generation Based on EKF Algorithm

Abstract:

Wind power generation system is a typical nonlinear system. As wind speed is changing constantly, induction motor with conventional speed sensor-less control method has great estimated error. Wind power generation system with the control method cannot be good at tracking maximum power point. The paper put forward a novel control method that estimates the angular velocity and the rotor flux of the wind turbine based on EKF, As a result, induction motor with double-loop sensor-less Vector Control is realized. Simulation results show that the control scheme is effective.

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Periodical:

Applied Mechanics and Materials (Volume 654)

Pages:

196-202

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.654.196

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Online since:

October 2014

Authors:

Bei Hu*, Pan Duan, Shi Cheng Feng, Qi Chang Duan, Ming Xuan Mao

Keywords:

Kalman Filtering, Maximum Power Point Track, Speed Sensor-Less Vector Control, Wind Generator

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* - Corresponding Author

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