基于改进免疫遗传算法的PID参数优化仿真研究

The Optimization of PID Parameters Based on Improved Immune Genetic Algorithm

将改进免疫遗传算法与传统PID控制的参数优化进一步结合,利用免疫遗传操作自身的特点,同时引入疫苗的实时更新理念,保证了疫苗的先进性,加速系统对于全局最优解的搜索速度。以锅炉温度为例,经MATLAB-Simulink仿真证明,应用改进免疫遗传算法,对温度PID参数进行优化,使系统具有了更好的控制性能,也保证了锅炉温度的实时控制效果。

This article utilizes the self characteristics of improved immune genetic operation by combining the improved immune genetic algorithm and traditional PID control parameter optimization,and inputs the real time update of vaccine to ensure the advancement of the vaccine and increase the evolution speed of the system toward the optimal solution.Taking the boiler temperature as an example,proved by MATLABSimulink simulation,it shows that the application of this improved immune genetic algorithm not only has a better control performance to optimize PID temperature parameter,but also ensures the real-time control effect of the boiler temperature.