Journal of System Simulation
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.
Recommended Citation
Wang, Xiuyan; Zhang, Gewen; Chen, Zhou; Li, Zongshuai; and Liu, Yanmin
(2019)
"Airplane Pre-conditioning Optimizing Control Based on Large-scale System Theory,"
Journal of System Simulation: Vol. 31:
Iss.
6, Article 26.
DOI: 10.16182/j.issn1004731x.joss.17-0216
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss6/26
First Page
1239
Revised Date
2017-09-08
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0216
Last Page
1248
CLC
TP273
Recommended Citation
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.
DOI
10.16182/j.issn1004731x.joss.17-0216
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