Contactless power transfer system based on multi model adaptive control
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- Category: Electrical complexes and systems
- Last Updated on 04 February 2016
- Published on 04 February 2016
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Authors:
Wei Han, Beijing Polytechnic, Beijing, China
Qiang Liu , China Railway 16th Bureau Group City Construction Development Co., Ltd., Beijing, China
Chunmei Pei, Beijing Polytechnic, Beijing, China
Yanqiu Wang, Beijing Polytechnic, Beijing, China
Yong Liu, Beijing Polytechnic, Beijing, China
Abstract:
Purpose. For the contactless inductive power transfer (CIPT) system, the power is transferred by the mutual inductance coupling, which results in many problems, such as speed, reliability, and stability. This paper puts forward a method of contactless power transfer based on multi-model adaptive control.
Methodology. This method adjusts the duty cycle of control pulse by using the fuzzy control algorithm, and thus to control the output voltage.
Findings. This paper brings in the theories related to the multi-model reference adaptive control, establishes an ideal model for CIPT system, and obtains an approximate curve of the output voltage in the ideal model by way of curve fitting. By using fuzzy controller, the output voltage may well real-time track the ideal reference model.
Originality. The proposed fuzzy control method of multi-model adaptive duty cycle may improve the performance of the contactless power transfer system.
Practical value. The method proposed in the paper can ensure that the output voltage could be kept constantly at an ideal value after the system came to a steady state. The experimental result shows the efficiency of this algorithm.
References:
1. Chwei-Sen, W., Covic, G.A. and Stielau, O.H. (2010), “Power transfer capability and bifurcation phenomena of loosely coupled inductive power transfer systems”, IEEE Trans. on Ind. Electron, vol.51, no.1, pp. 148−156.
2. Jinsong, L. and Min, L. (2010), “Status Quo and Development of Fuzzy Control. Tongren Vocational Technical Institute”, Journal of Tongren Vocational Technical Institute (the Natural Science Edition), vol.8, no.5, pp. 39−42.
3. Hirai, J., Kim, T.W. and Kawamura, A. (2000), “Wireless transmission of power and information for cableless linear motor drive”, IEEE Trans. on Power Electron., vol.15, no.1, pp. 21−26.
4. Chen, M., Xu, D. and Zhou, D. (2004), “Inductive power transferring in maglev using harmonic injection method”, IEEE Applied Power Electronics Conference and Exposition–APEC, pp. 1165−1170.
5. Seema, B. Vora, Ami K. Vibhakar (2012), “Wireless energy transfer”, International Journal of Scientific Engineering and Technology, vol.1, no.1, pp. 5−10.
6. Tianhua, L. (2010), “Research on Several Methods of Intuitionistic Fuzzy Reasoning and Decision”, Shandong University.
7. Ki Young Kim (2012), “Wireless power transfer- principles and engineering explorations”, Book published by InTech.
8. Robert, W.E. and Dragan, M. (2004), “Fundamentals of Power Electronics (Second Edition)”, Kluwer Academic Publishers, New York, pp. 723−726.
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