基于PSO-BA算法的飞机地面空调系统仿真

Aircraft ground AC system simulation based on PSO-BA algorithm

飞机地面空调系统工作环境多变、参数较多,传统的PID控制已无法满足现场高效快速的需求,故引入蝙蝠算法以优化粒子群算法,从而改进传统的PID控制并应用于飞机地面空调系统。仿真结果表明,改进的粒子群算法具有较强的鲁棒性,可有效抑制大滞后及其他问题,为飞机地面空调系统的改进提供理论参考。

Due to the variable working conditions,large amount of parameters and huge delay of aircraft ground AC system,the traditional PID control has been unable to meet the requirement of high efficiency and speed in practition,Bat algorithm is introduced to optimize the partical swarm algorithm and improves the traditional PID control in aircraft ground AC system.Simulation result shows that the improved PSO algorithm has strong robustness and can effectively suppress the huge delay and other problems,which provides a theoretical reference for the improvement of aircraft ground AC system.