| 改进粒子群算法的自动阻抗匹配技术 |
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| 引用本文： | 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].保鲜与加工,2016(6):41-48. |
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| 作者姓名： | 杨晓博 李阳 肖朝霞 杨庆新 董维豪 王银焕 |
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| 作者单位： | 天津工业大学 天津市电工电能新技术重点实验室, 天津 300387,天津工业大学 天津市电工电能新技术重点实验室, 天津 300387,天津工业大学 天津市电工电能新技术重点实验室, 天津 300387,天津工业大学 天津市电工电能新技术重点实验室, 天津 300387,天津工业大学 天津市电工电能新技术重点实验室, 天津 300387,天津工业大学 天津市电工电能新技术重点实验室, 天津 300387 |
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| 基金项目： | 国家自然科学基金（51577133、51477117、51307007、51307120）；天津市应用基础及前沿技术研究计划（自然科学基金）联合资助项目（15JCYBJC46700）；天津市科技支撑计划资助项目（15ZCZDGX00980）。 |
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| 摘 要： | 由于无线电能传输距离的改变或谐振线圈之间发生偏移、负载改变等多方面的影响使系统的输入阻抗发生变化，导致输入阻抗与射频源内阻不匹配，使传输效率大幅下降。在射频源和发射线圈之间加入阻抗匹配网络可以提高无线电能的传输效率。为了提高阻抗匹配的精度和速度，提出了一种改进的粒子群算法。重点将改进算法和传统算法进行仿真实验比较，证明了改进算法在匹配精度和速度方面的优越性。最后将该算法嵌入到自动阻抗匹配系统中，提高了无线电能的传输效率，同时证明了所提算法的有效性。
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| 关 键 词： | 阻抗匹配 磁耦合 谐振式 无线电能传输 改进的粒子群 |
| 收稿时间： | 2016/7/10 0:00:00 |
Automatic impedance matching based on improved particle swarmoptimization algorithm |
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| YANG Xiaobo,LI Yang,XIAO Zhaoxi,YANG Qingxin,DONG Weihao and WANG Yinhuan.Automatic impedance matching based on improved particle swarmoptimization algorithm[J].Storage & Process,2016(6):41-48. |
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| Authors: | YANG Xiaobo LI Yang XIAO Zhaoxi YANG Qingxin DONG Weihao and WANG Yinhuan |
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| Institution: | Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China,Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China,Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China,Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China,Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, P. R. China and 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. |
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| Keywords: | impedance matching coupled magnetic resonance wireless power transfer improved particle swarm optimization |
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