摘要
传统方法设计电磁谐振式无线电能传输系统时,参数一直靠人工设定,实际应用中很难达到最优的传输效率。文章使用量子遗传算法对无线电能传输模型的参数进行优化,该算法以量子理论和量子计算为基础,采用量子比特实现个体编码,然后对每次迭代中的个体通过量子旋转门操作进行最优解搜索;最后,通过对一个谐振式无线电能传输系统进行仿真分析,对算法的有效性进行了验证;事实证明,该算法能够较快地搜索到局部最优解,验证了量子遗传算法对参数优化问题的有效性,为无线电能传输模型的制作优化奠定基础。
In the traditional way of designing the electromagnetic resonant wireless power transfer system , the parame-ters are often manually set , but in practical application it is hard to attain the optimal transmission efficiency .This pa-per adopted the quantum genetic algorithm to optimize the parameters of the wireless power transfer model .Based on the quantum theory and quantum calculation , this algorithm realized individual encoding by introducing the quantum bit, then searched the optimal solution by using the quantum rotating gate , and finally simulation analyses were made of the resonant wireless power transfer system to verify the effectiveness of the algorithm .It was proved that this algo-rithm could get the local optimal solution very quickly .The effectiveness of the quantum genetic algorithm in optimi-zing the parameters was validated , which laid a solid foundation for the optimization of the wireless power transfer model.
出处
《电测与仪表》
北大核心
2014年第17期53-57,共5页
Electrical Measurement & Instrumentation
关键词
无线能量传输
谐振
量子遗传算法
wireless power transfer system
magnetic coupling
quantum genetic algorithm
