Airborne Sensor Model Position Fidelity Determination for Combat Aircraft Simulators

Abstract:

Airborne sensors become a primary system in any combat program and the effectiveness depends on the coverage spectrum of the sensors and also the ability of flying machine. However evaluating the mission functionalities using sensors in flight involves tasks namely, Man Machine interface evaluation, Sensor function capability evaluation, System interface evaluation, Performance evaluation, pilot work load etc needs to carried out and the issues observed during the flight test needs to be cleared before accepting the system. It is one of the challenging task for any combat aircraft development program and proving require time, effort and also may lead to time and cost overrun. To minimize the effort one of the method adopted in recent flight development programs are using high fidelity sensor model to evaluate the mission function in the simulator which will reduce the actual test required in flight. Flight simulators during development of combat aircraft program have increased drastically in recent times with new technologies, possible to bring realism in a close room environment. However the success of any simulators depends on the fidelity of each subsystem integrated with in the simulator. Simulator contains simulation model which represents system in the aircraft world and the system which represents the outside world in a simulated manner. Mathematical based Avionics and weapon system Sensor simulation models is one of the major sub systems in any combat simulator and its level of usage depends on its fidelity. This paper proposes a unique and new methodology for evaluating the fidelity of simulated sensors used in the combat simulators. System identification technique allows generating mathematical model for dynamic systems having multiple input and output parameters. The developed model using System Identification Technique is a referent model through which the sensor model fidelity is evaluated.

• Periodical: Advanced Materials Research (Volume 1016)
• Pages: 429-435
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1016.429
• Online since: August 2014
• Authors: P.Suresh Kumar*, K. Senthil Kumar
• Keywords: Aircraft World, Combat Aircraft Simulator, Fidelity, Graphical User Interface (GUI), High Fidelity Sensor Model, Man Machine Interface, Real World Subject Matter Expert (SME), Referent Model (RM), Simulated Sub System, System Identification Technique (SIT)

References

[1] George, G.R. Knight, S.N. ; McTiernan, J Networking of full fidelity simulators for advanced training, published in Proceedings of the IEEE National Aerospace and Electronics Conference, NAECON (1989).

DOI: 10.1109/naecon.1989.40317

[2] Cooper, G. E., Harper, The use of pilot ratings in the evaluation of aircraft handling qualities, Moffett Field, CA: NASA Ames Research Center, NASA-TND5153, (1969).

[3] David Braun and R. Thomas Galloway, Universal automated flight simulator fidelity test system, AIAA Modeling and Simulation Technologies Conference and Exhibit, AIAA 2004-5269, 2004R. Nicole.

DOI: 10.2514/6.2004-5269

[4] Jamie L. Estock and Dr. Winston Bennett, A Model Based Tool to Quantify Simulation Fidelity: Preliminary Results, Ongoing Development, and Future Applications, AIAA Modeling and Simulation Technologies, (2008).

DOI: 10.2514/6.2008-6679

[5] Peter Jarvis and Daniel Spira. Flight Simulator Modeling and Validation Approaches and Pilot –in – the loop Fidelity, AIAA Modeling and Simulation Technologies, (2008).

DOI: 10.2514/6.2008-6684

[6] Roza Z.C., Simulation Fidelity Theory and Practice: An unified approach to defining, specifying and measuring realism of simulations, Delft University Press Science. December, (2004).

[7] Foster, L. Fidelity in Modeling and Simulation., Simulation Interoperability Workshop, Spring (1997).

[8] Cooper, G. E., Harper , Advisory Group for Aerospace Research and Development (1980). Fidelity of Simulation for Pilot Training (No. 159): NATO.

[9] Gross, D. C. and R. Freeman. Measuring Fidelity Differentials in HLA Simulations, Fall 1997 Simulation Interoperability Workshop: Workshop Papers 2 (Fall 1997): 799-80.

[10] Edward L. Burnett, A Proposed Model Fidelity Scale, AIAA Modeling and Simulation Technologies , (2008).

[11] Bradley C. Schricker, Robert W. Franceschini, Timothy C. Johnson, Fidelity Evaluation Framework, Proceedings in IEEE, 34th Annual Simulation Symposium (2001).

DOI: 10.1109/simsym.2001.922122

[12] P. Suresh Kumar and Dr Senthil Kumar, Fidelity Evaluation of Airborne Sensor's Simulation Model using System Identification Techniques, Planetary Scientific Research Centre Conferences (2014).

[13] Dingyu Xue, YangQuan Chen. System Simulation Techniques with MATLAB and Simulink , Wiley Publication, (2014).