Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-22T10:15:26.366Z Has data issue: false hasContentIssue false

Predictive inverse simulation of helicopters in aggressive manoeuvring flight

Published online by Cambridge University Press:  27 January 2016

M. Bagiev
Affiliation:
Department of Aerospace Engineering, University of Glasgow, Glasgow, UK
D. G. Thomson
Affiliation:
Department of Aerospace Engineering, University of Glasgow, Glasgow, UK
D. Anderson
Affiliation:
Department of Aerospace Engineering, University of Glasgow, Glasgow, UK
D. Murray-Smith
Affiliation:
Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow, UK

Abstract

A conventional inverse simulation does not accommodate control constraints; hence for aggressive manoeuvring flight conditions, where control inputs are close to the limits, these algorithms lose some of their applicability. A modification of the conventional inverse simulation technique that accommodates the onset of physical limits or constraints is proposed in this paper. In this way a process of constraints handling is incorporated into the inverse simulation algorithm. Therefore, the aim of this paper is to demonstrate that conventional inverse simulation can be improved in terms of the realism of the results by applying a predictive capability for applications involving manoeuvring flight. The paper gives details of the development of the predictive inverse simulation algorithm and helicopter model used and, by presenting examples of results calculated for pop-up and lateral realignment manoeuvres demonstrates that a ‘receding horizon’ predictive approach offers improvements in the realism of inverse simulation results.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2012 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Thomson, D.G. An analytical method of quantifying helicopter agility, 1986, 12th European Rotorcraft Forum, Garmisch-Partenkirchen, Germany.Google Scholar
2. Thomson, D.G. and Bradley, R. Development and verification of an algorithm for helicopter inverse simulation, Vertica, 1990, 14, (2), pp 185200.Google Scholar
3. Hess, R.A. and Gao, C. A generalized algorithm for inverse simulation applied to helicopter manoeuvring flight, J American Helicopter Soc, 1993, 16, (5), pp 315.Google Scholar
4. Rutherford, S. and Thomson, D.G. Improved methodology for inverse simulation, Aeronaut J, 1996, 100, (993), pp 7986.Google Scholar
5. Cao, Y. A New Inverse solution technique for studying helicopter manoeuvring flight, J American Helicopter Soc, 2000, 45, (1), pp 4353.Google Scholar
6. Celi, R. Optimization-based inverse simulation of a helicopter slalom manoeuvre, J Guidance, Control, and Dynamics, 2000, 23, (2), pp 289297.Google Scholar
7. Doyle, S.A. and Thomson, D.G. Modification of a helicopter inverse simulation to include an enhanced rotor model, J Aircr, 2000, 37, (3), pp 536538.Google Scholar
8. Avanzini, G. and de Matteis, G. Two-timescale inverse simulation of a helicopter model, J Guidance, Control, and Dynamics, 2001, 24, (2), pp 330339.Google Scholar
9. Thomson, D.G. and Bradley, R. The principles and practical application of helicopter inverse simulation, simulation practice and theory, Intl J Federation of European Simulation Societies, 1998, 6, (1), pp 4770.Google Scholar
10. Thomson, D.G. and Bradley, R. Inverse simulation as a tool for flight dynamics pesearch — principles and applications, Prog in Aerospace Sci, 2006, 42, (3), pp 174210.Google Scholar
11. Maciejowski, J.M. Predictive Control with Constraints, 2001, Prentice Hall.Google Scholar
12. Anderson, D. Modification of a generalized inverse simulation technique for rotorcraft flight, Proceedings of the Institution of Mechanical Engineers, Part G: J Aerospace Eng, 2003, 217, (2), pp 6173.Google Scholar
13. Hess, R.A., Gao, C. and Wang, S.H., Generalized technique for inverse simulation applied to aircraft manoeuvres, J Guidance, Control, and Dynamics, 1991, 14, (5), pp 920926.Google Scholar
14. Grundel, D., Murphey, R. and Pardalos, P.M. (Eds.) Theory and Algorithms for Cooperative Systems, 2004, Series on Computers and Operations Research, Vol. 4, World Scientific.Google Scholar
15. Luger, G.F. and Stubblefield, W.A. Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 1999, Addison-Wesley.Google Scholar
16. Sedgewick, R. Algorithms in C++, Part 5: Graph Algorithms, 2002, Addison-Wesley.Google Scholar
17. Thomson, D.G. Development of a generic helicopter model for application to inverse simulation, 1992, Internal Report No 9216, Department of Aerospace Engineering, University of Glasgow, UK.Google Scholar
18. Padfield, G.D. Helicopter Flight Dynamics, 1996, Blackwell Science.Google Scholar
19. Glauert, H. A General Theory of the Autogyro, 1926, Reports & Memoranda No 1111, Aeronautical Research Committee, London.Google Scholar
20. Thomson, D.G. and Bradley, R. Mathematical definition of helicopter manoeuvres, J American Helicopter Soc, 1997, 42, (4), pp 307309.Google Scholar