摘要
为解决常规PID控制难以应对移相全桥DC/DC变换器随时间变化非线性的问题,提出了一种基于遗传算法优化的模糊PID控制策略GA-FP。GA-FP通过模糊控制器调整PID的系数,应用遗传算法的全局寻优能力重新计算模糊PID控制器中的量化因子和比例因子,以提高控制响应速度,增强系统的鲁棒性。剖析了移相全桥变换器的电压闭环运行机制,设计了GA-FP的实现步骤,并采用MATLAB/Simulink进行仿真验证。仿真结果表明,GA-FP在稳定负载或负载突变时均可在0.5 ms内将输出电压稳定于48 V,调节速度快、超调量小,控制性能比没有优化的模糊PID和常规PID更好,且自适应能力更强。
It’s difficult for the PID control to handle the time-varying nonlinearity of phase-shifted full-bridge converter.To solve this problem,a fuzzy PID controller GA-FP based on genetic algorithm optimization is designed.The fuzzy controller of GA-FP is used to tune the coefficients of PID,and the global optimization ability of GA is used to optimize the quantization factor and proportional factor of the fuzzy PID controller to improve the control responding speed and enhance the robustness of the system.The voltage closed-loop control principle of the phase-shifted full-bridge converter is analyzed,and the implementation steps of GA-FP are designed.Finally,the simulation is carried out using MATLAB/Simulink.The simulation results show that GA-FP can stabilize the output voltage value at 48 V within 0.5 ms regardless of whether it is at a constant load or a sudden load change,with fast regulation speed and small overshoot.The control performance of GA-FP is better than unoptimized fuzzy PID control and PID control,and its adaptive ability is stronger.
作者
孙嘉梁
符晓
SUN Jia-liang;FU Xiao(School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200082,China)
出处
《测控技术》
2022年第5期113-118,共6页
Measurement & Control Technology
