Aircraft Platform Temperature Prediction Algorithm For Unsteady State Process

DOI

10.2991/meic-14.2014.216How to use a DOI?

Keywords

Temperature prediction; filtering estimation; unsteady state process; environmental worthiness

Abstract

Aircraft platform environment has an important impaction on the aboard equipment performance. In all environment factors, the temperature is an key one because it will affect the working lifespan and operational performance of aircraft. Therefore, it is necessary to study the temperature prediction algorithm for an aircraft platform. Based on the error caused by the reasonableness of the assumptions and verified in the further, an aircraft platform temperature prediction algorithm for unsteady state process was studied in this paper. Firstly, based on unsteady state process, combined with energy conservation law, a lumped parameter model was established. Then the coefficients of model was estimated by using Kalman filtering, and the average temperature in the front equipment cabin was predicted for given flight profiles. From simulation results, it can be seen that the unsteady state process temperature prediction method is able to tack the variation of average temperature of front equipment cabin. This method provides a new idea for aircraft platform temperature prediction.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haijuan Chang
AU  - Liping Pang
PY  - 2014/11
DA  - 2014/11
TI  - Aircraft Platform Temperature Prediction Algorithm For Unsteady State Process
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 967
EP  - 970
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.216
DO  - 10.2991/meic-14.2014.216
ID  - Chang2014/11
ER  -