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

doi:10.16182/j.issn1004731x.joss.17-0216

Abstract

Abstract: 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.

Key words: modified OPBM, airplane pre-conditioning, optimizing control, large-scale system, globally optimizing model

CLC Number:

TP273

Wang Xiuyan, Zhang Gewen, Zhou Chen, Li Zongshuai, Liu Yanmin. Airplane Pre-conditioning Optimizing Control Based on Large-scale System Theory[J]. Journal of System Simulation, 2019, 31(6): 1239-1248.

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