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基于单神经元PID桥载空调温控系统仿真

林家泉,李博   

  1. (taptap下载安装安卓电子信息与自动化学院,天津300300)
  • 收稿日期:2017-02-27 修回日期:2017-03-17 出版日期:2017-08-25 发布日期:2017-11-08
  • 作者简介:林家泉(1975—),男,黑龙江鹤岗人,副教授,博士,研究方向为飞机客舱能耗预测控制.
  • 基金资助:

    天津市自然科学基金项目(13JCYBJC42300)

Temperature control system simulation of bridge air conditioning based on single neuron PID

LIN Jiaquan, LI Bo   

  1. (College of Electronic Information and Automation, CAUC, Tianjin 300300, China)
  • Received:2017-02-27 Revised:2017-03-17 Online:2017-08-25 Published:2017-11-08

摘要:

在使用桥载空调代替飞机机载APU的过程中对桥载空调的控制成为运行管理中的重点通过对桥载空调的建模建立温控系统模型传递函数为提高温度的控制精度采取一种改进的单神经元PID 控制器合传统PID 控制方法并且在单神经元的基础上进行权值与K 值的改进编写S 函数建立被控系统的Simulink 模型Matlab 软件对桥载空调温控系统进行仿真对比传统PID 与改进的单神经元PID 的控制效果仿真结果表明该改进算法有效地提高了桥载空调系统的快速性与稳定性具有较好的应用前景

关键词: 单神经元PID, 桥载空调, 仿真分析

Abstract:

During the process of using bridge air conditioning instead of airborne APU, controlling of bridge air conditioning has become the focus of operation and management. By modeling the bridge air conditioning, temperature control system transfer function is established. In order to improve the accuracy of the temperature control, an improved single neuron PID controller combined with the traditional PID control method is taken. And on the basis of single neuron, the weight and K value are improved, and the S function is written to establish the Simulink model of controlled system. Matlab is used to simulate the temperature control system of bridge air conditioning system, and the control effect of traditional PID and the improved single neuron PID are compared. Simulation results
show that the improved algorithm can effectively improve the speed and stability of bridge air conditioning system, and has good application prospect.

Key words: single neuron PID, bridge air conditioning, simulation analysis

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