航空学报 > 2011, Vol. 32 Issue (1): 49-57   doi: CNKI:11-1929/V.2011.1111.0911.012

大型飞机座舱温度控制系统仿真

屠毅, 林贵平   

  1. 北京航空航天大学 航空科学与工程学院, 北京 100191
  • 收稿日期:2010-04-21 修回日期:2010-05-21 出版日期:2011-01-25 发布日期:2011-01-25

Simulation of Large-scale Aircraft Cabin Temperature Control System

TU Yi, LIN Guiping   

  1. School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2010-04-21 Revised:2010-05-21 Online:2011-01-25 Published:2011-01-25

摘要: 大型飞机座舱温度控制系统是一个时变、非线性、大时间常数的复杂控制系统,采用传统的控制方法难以获得满意的控制效果。根据系统控制要求,提出了一种新的座舱温度控制方案,系统分为组件温度控制和区域温度控制两级控制。区域温度控制器计算出各区域供气温度的目标值,并选择各区域供气目标温度中最低值作为组件温度控制的目标温度。使用专家比例-积分-微分(PID)控制方法设计组件温度控制器,使用基于模糊控制原理的座舱温度控制查询表设计区域温度控制器。进行了新方法与传统控制方法的对比及整个飞行过程的控制系统的动态仿真。仿真结果表明,该温度控制系统的设计优于常规PID控制方案,控制系统超调量小,控制精度高,且可满足供气温度及变化率的限制。

关键词: 运输机, 飞机座舱, 温度控制, 专家系统, 模糊控制

Abstract: A large-scale aircraft cabin temperature control system is a time-varying, nonlinear and big time-constant complex control system, and it is difficult to obtain satisfactory control effect by means of traditional control methods. A new approach for cabin temperature control is proposed in this article based on system control demands. The control system is divided into two parts: cooling pack temperature control and zone temperature control. The zone temperature controller calculates a demand temperature signal for each zone, and chooses the lowest temperature as the demand temperature of the pack temperature controller. The expert proportion-integral-differential(PID) control method is used to design the pack temperature controller, and a temperature control query table based on fuzzy control theory is used to design the zone temperature controller. This new control method is compared with the traditional one by computer simulation, and a dynamical analysis of the control system is conducted for the whole flight process. Simulation results show that this temperature control system is superior to the conventional PID control program. The control system demonstrates small overshoot and high control precision, while the gas temperature and its rate of change meets the requirements.

Key words: transport aircraft, cabin, temperature control, expert system, fuzzy control

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