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Improved methodology for inverse simulation

Published online by Cambridge University Press:  04 July 2016

S. Rutherford  and
D.G. Thomson
S. Rutherford
Affiliation:
Department of Aerospace EngineeringUniversity of Glasgow, UK
D.G. Thomson
Affiliation:
Department of Aerospace EngineeringUniversity of Glasgow, UK
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Summary

Inverse simulation is becoming a more widely used technique in flight mechanics studies. The ability to predict control and response time histories for a predefined manoeuvre or task has obvious benefits in certain applications (handling qualities studies related to the ADS-33 requirements for helicopters, for example). The main criticisms of the technique have always been concerned with the numerical problems usually encountered when solving the equations of motion in the inverse manner. In this paper these problems are highlighted and a simple technique which overcomes them is presented. This technique provides a robust mechanism whereby reliable and consistent inverse simulations are possible.

Type
Research Article
Information
The Aeronautical Journal , Volume 100 , Issue 993 , March 1996 , pp. 79 - 86
Copyright
Copyright © Royal Aeronautical Society 1996 

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References

1. Thomson, D.G., Talbot, N., Taylor, C., Bradley, R. and Ablett, R. An investigation of piloting strategies for engine failures during takeoff from offshore platforms, Aeronaut J, January 1995, 99, (981), pp 15–25.Google Scholar
2. Thomson, D.G. and Bradley, R. Modelling and Classification of Helicopter Combat Manoeuvres, In:Proceedings of ICAS Congress, Stockholm, Sweden, September 1990.Google Scholar
3. Thomson, D.G. and Bradley, R. The Contribution of Inverse Simu lation to the Assessment of Helicopter Handling Qualities, Paper 7.3.2, In:Proceedings of the 19th ICAS Conference, Anaheim, USA, September 1994.Google Scholar
4. Thomson, D.G. and Bradley, R. Development and verification of an algorithm for helicopter inverse simulation, Vertica, May 1990, 14, (2), pp 185–200.Google Scholar
5. Kato, O. and Suguira, I. An interpretation of airplane general motion and control as inverse problem, J Guidance, Control and Dynamics, 1986, 9, (2), pp 198–204.Google Scholar
6. Gao, C. and Hess, R.A. Inverse simulation of large-amplitude air craft maneuvers, J Guidance, Control, and Dynamics, 1993, 16, (4), pp 733–737.Google Scholar
7. Rutherford, S. and Thomson, D.G. Development of a generic inverse simulation algorithm, University of Glasgow, Department of Aerospace Engineering, Internal Report No 9410, July 1994.Google Scholar
8. Thomson, D.G. Development of a generic helicopter mathematical model for application to inverse simulation, University of Glasgow, Department of Aerospace Engineering, Internal Report No 9216, June 1992.Google Scholar
9. Lin, K.C., Lu, P. and Smith, M. The numerical errors in inverse simulation, AIAA-93-3588-CP, 1993.Google Scholar
10. Thomson, D.G. and Bradley, R. Prediction of the dynamic charac teristics of helicopters in constrained flight, Aeronaut J, December 1990, 94, (942), pp 344–354.Google Scholar
11. Bradley, R. Private Communication, May 1995.Google Scholar
12. Cheney, W. and Kincaid, D. Numerical Mathematics and Comput ing. Second Edition, Brooks/Cole Publishing, 1985.Google Scholar
13. Press, W., Teukolsky, S.A., Vetterling, W.T. and Flannery, B.P. Numerical Recipes in Fortran. The Art of Scientific Computing. Second Edition, Cambridge University Press, 1986.Google Scholar