Main Article Content
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.
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References
- Roy Langton., Chuck Clark., Martin Hewitt and Lonnie Richards., "Aircraft Fuel Systems", John Wiley and Sons Ltd, 2009.
- 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.
- 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.
- 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.
- Gelb, A. et al., "Applied Optimal Estimation", The MIT Press, Massachusetts, 2001.
- Klein, V and Morelli, E.A., "Aircraft System Identification: Theory and Practice", AIAA, 2006.
- Liquid Gauging Using Sensor Fusion and Data Fusion, US Patent No. 6157894, 2000.
- Probe Placement Using Genetic Algorithm Analysis, US Patent No.6006604, 1999.
- Å.Björck., "Numerical Methods for Least Squares Problems", SIAM, Philadelphia,1996.
- Microcontroller MC68000 Family User Manual, Motorola Inc, 1995.
- Microcontroller MC68000 Semiconductor Application Note TPUPN06/D, Motorola Inc Inc, 1997.
- Usha, G., Vijay A.Deshmukh., Prabhulla Chandran, V.K and Srinivasa Rao, R., "Real Time Estimate and Computational Model of Fighter Aircraft Fuel Gauging System", Journal of Aerospace Sciences and Technologies, Aeronautical Society of India, Vol.64, No.2, May, 2012, pp.152-159.
References
Roy Langton., Chuck Clark., Martin Hewitt and Lonnie Richards., "Aircraft Fuel Systems", John Wiley and Sons Ltd, 2009.
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.
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.
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.
Gelb, A. et al., "Applied Optimal Estimation", The MIT Press, Massachusetts, 2001.
Klein, V and Morelli, E.A., "Aircraft System Identification: Theory and Practice", AIAA, 2006.
Liquid Gauging Using Sensor Fusion and Data Fusion, US Patent No. 6157894, 2000.
Probe Placement Using Genetic Algorithm Analysis, US Patent No.6006604, 1999.
Å.Björck., "Numerical Methods for Least Squares Problems", SIAM, Philadelphia,1996.
Microcontroller MC68000 Family User Manual, Motorola Inc, 1995.
Microcontroller MC68000 Semiconductor Application Note TPUPN06/D, Motorola Inc Inc, 1997.
Usha, G., Vijay A.Deshmukh., Prabhulla Chandran, V.K and Srinivasa Rao, R., "Real Time Estimate and Computational Model of Fighter Aircraft Fuel Gauging System", Journal of Aerospace Sciences and Technologies, Aeronautical Society of India, Vol.64, No.2, May, 2012, pp.152-159.