Abstract
Cockpit temperature control system is an important part of the environment control system (ECS) which will directly impact the health and comfort of the pilot. This investigation built the physical model for the cockpit temperature control system of one real aircraft in commercial software, Matlab Simulink. Experimental data of the aircraft cockpit rapid cooling test was used to verify the model. The simulated cockpit temperature curve agrees with the experimental data. The verified model was then used to implement the control logic design based on both PID and cascade control theory. The comparison of these two control logic shows that cascade-PID has a better dynamic response when controlling the cockpit temperature of aircraft with a lower overshoot of 0.12 °C and a shorter settling time of 48 s. The results also show that during a rapid cooling condition, control logic has no impact on the variation trend of cockpit temperature.
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References
Tu Y, Lin G (2011) Simulation of large-scale aircraft cabin temperature control system. Acta Aeronautica et Astronautica Sinica 32:49–57 (in Chinese)
Tu Y, Lin G (2011) Dynamic simulation of aircraft environmental control system based on flowmaster. J Aircraft 48(6):2031–2041
Zhang J, Hao G, Zhang J (2013) Cabin temperature control system simulation of transportation aircraft. In: Proceedings of the 2013 third international conference on instrumentation, measurement, computer, communication and control. IEEE
Dobrescu E, Balazinski M (2004) Fuzzy logic aircraft environment controller. In: IEEE meeting of the fuzzy information, processing NAFIPS 04
Zuo Q (2017) Investigation of modeling and simulation of cabin temperature control system in jumbo passenger jet. Civil Aviation University of China (in Chinese)
Ren M, Wang J, Li R et al (2017) Control law design for temperature control system of large-scale aircraft cabin. Acta Aeronautica et Astronautica Sinica 38(S1):14–22 (in Chinese)
Zhou T, Dong J, Song Z (2013) The application study of digital PID controller in cockpit temperature auto-regulating system. Ind Control Appl 32(11):43–44 (in Chinese)
Romani R, de Góes LC (2012) Cabin temperature control model for commercial aircraft. In: AIAA modeling and simulation technologies conference, guidance, navigation, and control and co-located conferences
Yin H, Shen X, Huang Y et al (2016) Modeling dynamic responses of aircraft environmental control systems by coupling with cabin thermal environment simulations. Build Simul 9(4):459–468
Zhang C, Zhang Z (2016) Modeling and simulation of temperature large time delay cascade-Smith predictive control system. Sci Technol Vis 8:278–280 (in Chinese)
Gao X (2013) Research on room temperature control strategy for central heating system. Zhejiang University (in Chinese)
Fu Y (2007) Research on large temperature difference supply air of high accuracy constant temperature air conditioning system based on DMC-PID cascade control. Tongji University (in Chinese)
Kunimine N (2018) Thermal design lecture-Natural convection and forced convection with calculation example. http://www.360doc.cn/article/34412976_778697044.html
Zhang X, Ren Z, Mei F (2007) Heat transfer. China Architecture & Building Press, Beijing
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Liu, Y., Wu, C., Min, Z., Zhang, X. (2020). Control Logic Design Based on Modeling of Aircraft Cockpit Temperature Control System. In: Long, S., Dhillon, B. (eds) Man–Machine–Environment System Engineering . MMESE 2019. Lecture Notes in Electrical Engineering, vol 576. Springer, Singapore. https://doi.org/10.1007/978-981-13-8779-1_50
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DOI: https://doi.org/10.1007/978-981-13-8779-1_50
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