Main Article Content

Abstract

A least square estimation technique has been proposed for in-flight fuel estimation for a high performance combat aircraft. This paper presents the details of least square models for aircraft fuel estimation, the procedure for building the least square models and their fidelity to estimate the fuel quantity in the multiple internal fuel tanks of the aircraft from flight data. The performance of the fuel estimation by least square technique has been verified with 56 different post flight data with different maneuvers including probe failure cases and compared with lookup table based estimates, the technique currently being used on the aircraft. Few results of fuel quantity estimates are presented and discussed. Sensitivity of the least square model based fuel estimation technique to probe failures has been studied by simulating multiple probe failures in flight data.

Keywords

Aircraft fuel estimation, Capacitance probes, Least Square techniques

Article Details

How to Cite
Shantha Kumar, N., Narayana Rao, P., & Naidu , V. (2023). Aircraft Fuel Estimation by Least Square Technique. Journal of Aerospace Sciences and Technologies, 66(3), 236–246. https://doi.org/10.61653/joast.v66i3.2014.458

References

  1. Roy Langton., Chuck Clark., Martin Hewitt and Lonnie Richards., Aircraft Fuel Systems, John Wiley and Sons, UK, 2009.
  2. Ian Moir and Allan Seabridge., Aircraft Systems: Mechanical, Electrical, and Avionics Subsystems Integration, John Wiley and Sons, UK, 2008.
  3. Ultrasonic Liquid Gauging System, US Patent No. 6,236, 142, May, 22, 2001.
  4. Liquid Quantity Gauging, US Patent No. 5,207,099, May, 4, 1993. 5. Liquid Gauging Using Sensor Fusion and Data Fusion, US Patent No. 6157894, December, 5, 2000.
  5. 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.
  6. 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.
  7. Kai Hu and Samuel H., "Solving Inverse Problems Using Particle Swarm Optimization: An Application to Aircraft Fuel Measurement Considering Sensor Failure", Intelligent Data Analysis, Vol.11, 2007, pp.421-434.
  8. Probe Placement Using Genetic Algorithm Analysis, US Patent No. 6,006,604, December, 28, 1999.
  9. Raol, J.R., Girija, G. and Singh, J., "Modelling and Parameter Estimation of Dynamic Systems", Published by IEE, UK, 2004.
  10. Gelb, A. et al., Applied Optimal Estimation, The MIT Press, Massachusetts, 2001.
  11. Klein, V. and Morelli, E.A., "Aircraft System Identification: Theory and Practice", AIAA, 2006.
  12. Usha, G., Prabhulla Chandran, V.K., Srinivasa Rao, R. and Vijay Deshmukh., "Real Time Estimate and Computational Model of Fighter Aircraft Fuel Gauge System", Journal of Aerospace Sciences and Technologies, Vol.64, No.2, February, 2012, pp.152-159.