微机器人胶囊能量无线传输系统的传输性能受到谐振频率、耦合系数、线圈匝数、线圈半径、补偿电容、线圈互感等诸多因素影响． 为实现系统性能的全局最优，必须在满足微机器人胶囊最低能耗要求的前提下提高系统传输效率，同时兼顾系统稳定性、温升安全性、可靠性、体积参数等因素． 文中基于微机器人胶囊能量无线传输系统初级线圈串联补偿－ 次级线圈串联谐振补偿模型，建立了系统的能效模型，以初、次级线圈匝数与线圈半径、谐振频率等参数作为优化变量，构建了优化问题的目标函数，对微机器人胶囊能量无线传输系统进行综合优化设计． 针对该多变量非线性约束优化问题，采用了改进的遗传算法进行优化计算． 实验结果表明，所提出的优化设计方法正确有效，所设计的的微机器人胶囊能量无线传输系统样机的能效达86． 6mW，传输效率达8． 01%．

The performance of wireless power transmission system for micro robotic capsules is affected by many factors,such as resonance frequency,coupling co-efficient,coil turns,coil radius,compensation capacitor and mutual inductance.In order to achieve a global optimum of the system performance,the system transmission efficiency should be improved and the minimum power requirement of micro robotic capsules should be met.Meanwhile,the system stability,the safety of temperature rise,the reliability and the volume should also be considered.In this paper,an energy efficiency model is constructed for the wireless power transmission system with series compensation on both primary side and secondary side.Then,with the coil turns and coil radius of the two sides and the resonance frequency as the variables,an objective function of the optimization problem is established to perform the optimal design of the wireless power transmission system.Finally,an improved genetic algorithm is utilized to solve the multi-variable and nonlinear constrained optimization problem.Experimental results indicate that the proposed optimization method is correct and effective,and a prototype of the wireless power transmission system designed for micro robotic capsules achieves an energy efficiency of 86.6mW with an efficiency of 8.01%.