Automatic impedance matching based on improved particle swarmoptimization algorithm

doi:10.11835/j.issn.1000-582X.2016.06.006

Home > Archive>Volume 39, Issue 6, 2016 >41-48. DOI:10.11835/j.issn.1000-582X.2016.06.006

Automatic impedance matching based on improved particle swarmoptimization algorithm
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                        10.11835/j.issn.1000-582X.2016.06.006
                    
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                        YANG XiaoboYANG Xiaobo
Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China
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LI YangLI Yang
Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China
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XIAO ZhaoxiaXIAO Zhaoxia
Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China
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YANG QingxinYANG Qingxin
Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China
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DONG WeihaoDONG Weihao
Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China
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WANG YinhuanWANG Yinhuan
Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China
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Abstract:

As the wireless power transmission distance changes, resonance coil offsets, load changes and other aspects of the system's input impedance change, the input impedance will not match with the RF(radio frequency) source impedance, and the transmission efficiency will drop significantly. Adding an impedance matching network between the RF source and the transmit coil can improve the transmission efficiency of the wireless power. In order to improve the accuracy and the speed of impedance matching, an improved particle swarm optimization algorithm was proposed in this paper. By comparing the improved algorithm with the traditional algorithm, it proved the superiority of the improved algorithm in matching precision and speed. Finally, the algorithm was embedded into the automatic impedance matching system and the transmission efficiency of the wireless power transfer system was improved. Meanwhile, the effectiveness of the proposed algorithm was also demonstrated.

Key words:impedance matching;coupled magnetic;resonance;wireless power transfer;improved particle swarm optimization

Reference

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杨晓博,李阳,肖朝霞,杨庆新,董维豪,王银焕.改进粒子群算法的自动阻抗匹配技术[J].重庆大学学报,2016,39(6):41~48

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Received:July 10,2016
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Online: December 12,2016
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