飞机地面空调车温度控制的仿真研究

研究优化飞机地面空调车温控制问题,由于飞机地面空调车温度控制是非线性、时变性强的系统,工作环境不确定性,面对复杂系统温控模型不准确,传统的PID控制存在超调量大、响应速度慢、抗干扰能力弱等缺点。为提高温度控制精度,提出了一种新的稳定性好、精度高、抗干扰能力强的遗传-粒子群PID控制方法。结合传统的PID方法,遗传算法和粒子群算法的各自优点,实现了PID参数的在线整定。通过在matlab上进行仿真,实验结果证明算法具有超调量小、响应速度快、精度高、抗干扰能力强等优点,PID控制性能有显著提高,为飞机地面空调车的温度控制设计提供了依据。

Simulation Research of Temperature Control in Aircraft Ground Air Conditioning Carts

The temperature control system of aircraft ground air conditioning carts is a complex system with model imprecise,nonlinear,time-varying and uncertain work environment.The traditional PID control has high overshoot,slow response,poor ability of anti-interference and so on.There is "degenerate" phenomenon based on the genetic algorithm PID parameters tuning,so stability is poor,and it is easy to fall into local optimum based on the particle swarm optimization,so accuracy is not high.This paper proposed a genetic-particle swarm optimization PID control method with good stability,high accuracy,strong anti-interference.It utilized traditional PID method,combined with their respective advantages of the genetic algorithm and the particle swarm optimization algorithm,and achieved the PID parameters online tuning.It has been proved by the Matlab simulation experimental results that this algorithm has small overshoot,fast response,high precision,strong anti-interference ability,and other advantages.Meanwhile,it has greatly improved the performance of the PID control.And it is very suitable for the aircraft air conditioning temperature control.