飞机地面空调车空调系统Fuzzy-PID控制的建模与仿真
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摘要
飞机地面空调车空调系统属于数学模型不精确、工作环境复杂的非线性时变系统,常规PID控制难以满足其控制要求,针对这一问题,建立了基于Fuzzy-PID控制的飞机地面空调车空调系统数学模型,并利用Simulink进行了仿真研究。通过仿真对比发现:与常规PID控制相比,Fuzzy-PID控制在精度、抗干扰性和适应性等方面均表现出较好的控制能力,具有良好的应用前景。
The air-conditioning system in aircraft ground air-conditioning carts is a complex system with nonlinearity,time varying,imprecise model and complicated work environment,the common PID control method is hard to satisfy the control demand of the system. Aiming at that problem,a mathematical model of Fuzzy-PID control for air-conditioning system in aircraft ground air-conditioning carts is built,and further studies on the system are done based on Simulink. The simulation comparison shows that the FuzzyPID controller is better than the common PID controller in terms of control accuracy,anti-interference and adaptability,having a nice prospect for applications.
The air-conditioning system in aircraft ground air-conditioning carts is a complex system with nonlinearity,time varying,imprecise model and complicated work environment,the common PID control method is hard to satisfy the control demand of the system. Aiming at that problem,a mathematical model of Fuzzy-PID control for air-conditioning system in aircraft ground air-conditioning carts is built,and further studies on the system are done based on Simulink. The simulation comparison shows that the FuzzyPID controller is better than the common PID controller in terms of control accuracy,anti-interference and adaptability,having a nice prospect for applications.
引文
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[2]刘金琨.先进PID控制及其MATLAB仿真[M].北京:电子工业出版社,2003.
[3]潘琢金,王丽伟,杨华,等.飞机地面空调车温度控制的仿真研究[J].计算机仿真,2012,29(4):68-71.
[4]蒋文胜.基于模糊神经网络的大型制冷控制系统的设计[J].制冷技术,2014,42(4):89-92.
[5]杨亮,高洁,张春路.某地铁列车空调制冷系统的仿真与优化[J].制冷学报,2014,35(6):53-57.
[6]张科,周志刚,吴兆林.飞机地面空调车的应用与发展[J].低温与超导,2009,37(8):51-55.
[7]张天孙.传热学[M].北京:中国电力出版社,2006.
[8]唐华杰,吴兆林,周志刚.飞机地面空调车和军用飞机地面液体冷却车的应用及发展[J].流体机械,2006,34(2):72-75.
[9]李军,刘广鸿,李秋明.飞机地面空调车自动温度控制系统设计[J].沈阳航空工业学院学报,2006,23(3):7-9.
[10]黄永安,马路,刘慧敏.MATLAB 7.0/Simulink 6.0建模仿真开发与高级工程应用[M].北京:清华大学出版社,2005.