基于粒子群算法的无线充PID控制器优化设计

Optimization design of wireless charging PID controller based on particle swarm optimization

摘要:

对于谐振式无线充电系统，由于负载和线圈耦合变化等扰动影响，供电池负载充电的电流若只进行开环控制易产生扰动，故在前向通道中加入经典PID控制器，对系统进行实时有效的闭环控制。针对经典PID控制器的参数无法自适应整定的问题，提出了利用粒子群算法（PSO）自整定设计无线充电PID控制器参数的方法，并进行仿真分析和实验验证，结果表明：引入粒子群算法后的PID控制器快速性和稳定性都优于经典PID控制器，调节时间减少0.647s，最大超调量下降了4,1%，稳态误差误差下降了1.04%，证明了该方法对于改善无线充电系统输出动静态特性的可行性和有效性。

Abstract:

For the resonant wireless charging system, due to disturbances such as load and coil coupling changes, if the current for charging the battery load is only subjected to open-loop control, it is prone to disturbance. Therefore, a classic PID controller is added to the forward channel to effectively implement the system in real time. Closed-loop control. Aiming at the problem that the parameters of the classic PID controller cannot be adaptively adjusted, a method of designing the parameters of the wireless charging PID controller using particle swarm optimization (PSO) self-tuning is proposed, and simulation analysis and experimental verification are carried out. The speed and stability of the later PID controller are better than the classic PID controller, the adjustment time is reduced by 0.647s, maximum overshoot decreased by 4.1% and the steady-state error error is reduced by 1.04%, which proves the feasibility and effectiveness of this method for improving the dynamic and static characteristics of the wireless charging system.