Aircraft Fuel Mass Estimation Using Global Nonlinear Parametric Modeling

Author:

Usha G.,Narayana Rao P.,Shanta Kumar N.,Girija G.,Abilash M.T.

Abstract

The accuracy of fuel measurement in aircraft tanks is directly related to flight safety and maneuverability. Capacitance gauging is widely used and is the industry accepted method for accurate measurement of the fuel quantity. In this paper, a global nonlinear parametric modeling technique is applied to estimate the fuel content using the capacitance probe data generated from 3-dimentional models of the aircraft fuel tanks. Automatic Net generation Tool for Structural Analysis (ANSA) software is used to create the fuel tank solid models. Using truth tables generated from ANSA software, several 3 rd order polynomial models are developed. The fuel estimation algorithm is implemented in real time using Microcontroller based electronic unit.

Reference12 articles.

1. Roy Langton., Chuck Clark., Martin Hewitt and Lonnie Richards., "Aircraft Fuel Systems", John Wiley and Sons Ltd, 2009.

2. Radoslaw R. Zakrzewski., "Fuel Mass Estimation in Aircraft Tanks using Neural Nets", Proceedings of the 40th IEEE Conference on Decision and Control, Orlando, Florida USA, 2001, pp. 3728-3733.

3. Jiang D. F., Chen Q and Chen, M., "Building Fuel Measurement Model for Aircraft Fuel Tank with Neural Network", Measurement and Control Technology, Vol.19 (9), 2000, pp.48-50.

4. Kai Hu and Samuel, H., "Solving Inverse Problems using Particle Swarm Optimization: An Application to Aircraft Fuel Measurement Considering Sensor Failure", Intelligent Data Analysis, 2007, Vol.11, pp.421-434.

5. Gelb, A. et al., "Applied Optimal Estimation", The MIT Press, Massachusetts, 2001.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3