ICPT系统原边恒压控制及参数遗传优化

针对感应电能传输系统原边串联–副边并联的拓扑结构,发现利用传统原边电流恒定的控制方式在负载变化时不易实现输出稳压,因此提出一种简单的基于原边电压恒定来实现输出稳压的方法,研究了其适用的约束条件。针对ICPT系统多参数多约束的特点,引入遗传算法对系统的参数进行优化设计,利用动态函数改进适应度函数定标及变异算子提高算法性能。仿真和实验结果表明:输出电压在大范围负载切换中具有良好的稳定性,原边电流能够根据负载需求自适应变化;系统实现了低成本、低开关损耗设计,且参数均达到设计要求。证明了原边恒压控制及参数遗传优化的有效性。

Primary Side Constant Input Voltage Control and Parameters Optimization of ICPT Systems by Genetic Algorithm

With reference to the series compensated primary and parallel compensated secondary(SP) topology of inductively coupled power transfer(ICPT) systems,it was found using the traditional control method of the primary side constant current is difficult to realize the constant output voltage.A method based on the primary side constant input voltage to achieve the constant output voltage was proposed and its application conditions were studied.In the light of multi-parameter multi-constraint features of ICPT systems,genetic algorithm(GA) was introduced to optimize the design parameters,and dynamic functions were used to reform the fitness function scaling and the mutation operator to improve the algorithm performance.Simulation and experiment results show that the system output voltage has a good stability when the load changes in a wide range,and the current in the primary side can change adaptively according to the load demand,the system achieves the goal of low-cost low-switching-loss design and all the parameters meet the design requirements.It’s proved the control method of the primary side constant input voltage and parameters optimization by GA are effective.