约束型粒子群的LCC/S磁谐振耦合机构参数优化算法  

Parameter Optimization of LCC/S Type Magnetic Resonance Coupling Mechanism with Constrained Particle Swarm Algorithm

作　　者：吴晓伟 刘宏昭[1] WU Xiaowei;LIU Hongzhao(School of Mechanical and Precision Instrument Engineering, Xi′an University of Technology, Xi′an 710048, China)

机构地区：[1]西安理工大学机械与精密仪器工程学院,西安710048

出　　处：《机械科学与技术》2022年第1期127-133,共7页Mechanical Science and Technology for Aerospace Engineering

摘　　要：针对移动监测型传感器种类不同且位置可变的特性,确定LCC/S磁谐振耦合机构工作模式。由于该型无线电能传输系统谐振补偿拓扑参数配置困难,使得系统难以同时兼顾输出效率与输出功率,提出一种以系统传输效率为目标函数,以传感器移动范围内所需功率为限制条件的约束模型;然后引入罚函数将约束模型转化为无约束模型,通过粒子群算法进行参数优化,使得系统在满足传感器所需功率的同时传输效率最大化。最后通过仿真验证了所提优化方法的有效性。For mobile monitoring sensors with different types and variable position characteristics,the working mode of the LCC/S magnetic resonance coupling mechanism is determined.Due to the difficulty in configuring the resonant compensation topology parameters of this type of wireless power transmission system,which makes it hard to combine output efficiency and output power at the same time in system parameter design,a constraint model with system transmission efficiency as the objective function and the required power within the moving range of the sensor as the limiting condition is proposed in this study.Then a penalty function is introduced to transform the constrained model into an unconstrained model,and a particle swarm algorithm is used for parameter optimization to maximize the transmission efficiency of the system while satisfying the required power of the sensor.Finally,the effectiveness of the optimization method is verified by simulation.

关 键 词：传感器 LCC/S磁谐振耦合机构 无线电能传输 粒子群算法 参数优化 

分 类 号：TM724[电气工程—电力系统及自动化]