变论域模糊PID在空调车温度控制中的应用

Application of Variable Universe Fuzzy PID in Air Conditioning Carts

研究飞机维修地面环境空调系统优化控制,保证预期效果,飞机地面空调车温度控制系统是一个时变、非线性、模型不精确、工作环境不确定的复杂系统,空调控制温度精度差,影响稳定性能。针对传统的PID控制存在响应时间慢、稳定性差等缺点,提出了一种新的响应速度快、稳定性好和抗干扰性强的变论域模糊PID控制方法。采用变论域的思想,结合传统的PID方法和模糊控制方法的各自优点,形成变论域自适应模糊PID控制算法。利用变论域思想提高模糊推理的精度,并用模糊推理的方法实现PID参数的在线整定。在Matlab上仿真,结果表明控制方法效果明显优于传统PID控制,有效改善了系统的动态性能、稳态精度和鲁棒性,有较好的工程应用前景。

The temperature control system for aircraft ground air conditioning carts is a complex system of time-varying,nonlinear,imprecise model and uncertain work environment.For the traditional PID control of slow response time and poor stability,this paper proposed a new variable universe fuzzy PID control method of fast response,good stability and strong anti-jamming.The variable universe adaptive fuzzy PID control algorithm was from the idea of variable universe and combined with the respective merits of the traditional PID and fuzzy control.The idea of variable universe improved fuzzy reasoning accuracy and fuzzy reasoning method tuned the PID online parameters to improve the control performance of PID controller.Matlab simulation results show that this control is better than traditional PID control and effectively improve the system dynamic performance,steady state accuracy and robustness,and it has a good application prospect.