基于大系统理论飞机地面专用空调优化控制

Airplane Pre-conditioning Optimizing Control Based on Large-scale System Theory

针对飞机地面专用空调优化控制的问题,将改进OPBM (Output Predicition and Balance Method)引入到飞机地面专用空调系统优化中。以波音737飞机地面专用空调为对象,采用分散辨识法,建立空调大系统数学模型,提出了同时考虑空调系统能耗与空调区域热舒适性的优化目标,建立了空调系统全局优化运行模型,设计带局部反馈的OPBMLF对模型进行了优化求解。利用Matlab进行仿真研究,研究结果与实际数据进行对比,结果表明优化控制策略能够在满足环境需求的情况下,实现系统能耗最小,验证了其有效性。

Aiming at airplane pre-conditioning optimizing control, a modified OPBM(Output Predicition and Balance Method) was introduced. Taking Boing 737 airplane pre-conditioning as the research subject,the decentralized identification algorithm was adopted for establishing the airplane pre-conditioning large-scale system model;the optimal objective considering the system energy consumption, air conditioning area human comfort, and air quality was proposed;and the global system optimization operating condition model was constructed. The OPBMLF with local feedback was designed to optimize globally airplane pre-conditioning system model. Matlab was used for achieving simulation research, and the results was compared with the real data. The results showed that the optimal control strategy can minimize the energy consumption of the system under the condition of meeting the environmental requirements, which verifies its effectiveness.