Abstract
The present paper focuses on trajectory optimization problems for multibody vehicle models, accounting for the presence of pilot-in-the-loop effects and fast dynamic components in the solution. The trajectory optimal control problem is solved through a direct approach by means of a novel hybrid single–multiple shooting method. Specific focus of the present work is the inclusion of pilot models in the optimization process, in order to improve the fidelity of the solution by considering the entire coupled human-vehicle system. In particular we investigate a series of maneuvers flown with helicopters, quantifying the performance loss due to human limitations of the pilot-vehicle system with respect to the sole vehicle case.
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References
Advanced Rotorcraft Technology, Inc., 1685 Plymouth Street, Suite 250, Mountain View, CA 94043. http://www.flightlab.com
Anonymous (1999) Advisory circular 29-2C, certification of transport category rotorcraft. Federal Aviation Administration, Department of Transportation
Anonymous (2000) Handling qualities requirements for military rotorcraft. Aeronautical Design Standard, U.S. Army Aviation and Missile Command, Aviation Engineering Directorate, Rept. ADS-33E-PRF, Redstone Arsenal, AL
Ascher UM, Mattheij RMM, Russell RD (1995) Numerical solution of boundary value problems for ordinary differential equations. Classics in Applied Mathematics, SIAM, vol 13, Philadelphia
Betts JT (2001) Practical methods for optimal control using non-linear programming. SIAM, Philadelphia
Betts JT (1998) Survey of numerical methods for trajectory optimization. J Guid Cont Dynam 21(2):193–207
Bottasso CL, Croce A (2004) Optimal control of multibody systems using an energy preserving direct transcription method. Multibody Syst Dyn 12:17–45
Bottasso CL, Croce A, Leonello D, Riviello L (2005) Optimization of critical trajectories for rotorcraft vehicles. J Am Helicopter Soc 50:165–177
Bottasso CL, Croce A, Leonello D, Riviello L (2005) Rotorcraft trajectory optimization with realizability considerations. J Aerospace Eng 18:146–155
Bottasso CL, Chang C-S, Croce A, Leonello D, Riviello L (2006) Adaptive planning and tracking of trajectories for the simulation of maneuvers with multibody models. Comput Meth Appl Mech Eng 195:7052–7072
Bottasso CL, Maisano G, Scorcelletti F (2008) Trajectory optimization procedures for rotorcraft vehicles, their software implementation and applicability to models of varying complexity. American Helicopter Society 64th Annual Forum, Montréal, Canada. Also: J Am Helicopter Soc, under review
Bottasso CL, Scorcelletti F, Maisano G, Cicalè M, Ragazzi A (2008) Mission task elements and critical maneuvers simulation for rotorcraft vehicles. Rotorcraft Handling Qualities Conference, University of Liverpool, Liverpool, UK
Bottasso CL (ed.) (2008) Solution procedures for maneuvering multibody dynamics problems for vehicle models of varying complexity. Multibody dynamics – computational methods and applications, Computational Methods in Applied Sciences, ISBN 978-1-4020-8828-5, Springer, Dordrecht, The Netherlands
Bottasso CL, Maisano G (2009) Efficient rotorcraft trajectory optimization using comprehensive vehicle models by improved shooting methods. 35th European Rotorcraft Forum, Hamburg, Germany
Bradley R, MacDonald CA, Buggy TW (2005) Quantification and prediction of pilot workload in the helicopter/ship dynamic interface. J Aerospace Eng 219(5):29–443
Bryson AE, Ho YC (1975) Applied optimal control. Wiley, New York
Davidson JB, Schmidt DK (1992) Modified optimal control pilot model for computer-aided design and analysis. NASA, TM 4348, NASA Langley Research Center, Hampton, VA, USA
Frazzoli E (2001) Robust hybrid control for autonomous vehicle motion planning. Ph.D. Thesis, Department of Aeronautics and Astronautics. Massachusetts Institute of Technology, Cambridge, MA, USA
Gill PE, Murray W, Wright MH (1981) Practical optimization. Academic Press, London and New York
Hess RA (1997) Unified theory for aircraft handling qualities. J Guid Control Dynam 20(6):1141–1148
Hess RA (2006) Simplified technique for modelling piloted rotorcraft operations near ships. J Guid Control Dynam 29(6):1339–1349
Höhne G (2000) Computer aided development of biomechanical pilot models. Aero Sci Tech 4:57–69
Jagacinski RJ (2003) Control theory for humans – Quantitative approaches to modeling performance. Erlbaum, Mahwah, NJ
Kleinman DL, Baron S, Levison WH (1970) An optimal control model of human response. Part I: theory and validation. Part II: prediction of human performance in a complex task. Automatica 6:357–38
Kramer U (1985) On the application of fuzzy sets to the analysis of the system-driver-vehicle environment. Automatica 3(1):101–107
McRuer DT, Krendel ES (1974) Mathematical models of human pilot behavior. NATO AGARDograph No. 188, Paris, France
Van Paassen R (1994) Biophysics in aircraft control: a model of the neuromuscular system of the pilot’s arm. Ph.D. Thesis, Faculty of Aerospace Engineering. Delft University of Technology, The Netherlands
Veeraklaew T, Agrawal SK (2001) New computational framework for trajectory optimization of higher-order dynamic systems. J Guid Control Dynam 24(2):228–236
Zeyada Y, Hess RA (2000) Modelling human pilot cue utilization with application to simulator fidelity assessment. J Aircraft 37(4):558–597
Acknowledgements
The present research is supported by AgustaWestland through a grant with the Politecnico di Milano, Marco Cicalè being the main project monitor. Simulations using the FLIGHTLABcode were conducted at the AgustaWestland headquarters in Cascina Costa, Italy, using AgustaWestland licenses. The contribution of C. Ravaioli and A. Ragazzi in the preparation of the examples is gratefully acknowledged.
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Bottasso, C.L., Maisano, G., Scorcelletti, F. (2011). Maneuvering Multibody Dynamics: New Developments for Models with Fast Solution Scales and Pilot-in-the-Loop Effects. In: Arczewski, K., Blajer, W., Fraczek, J., Wojtyra, M. (eds) Multibody Dynamics. Computational Methods in Applied Sciences, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9971-6_2
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