Inverse simulation and analysis of underwater vehicle dynamics using feedback principles

Mathematical and Computer Modelling of Dynamical Systems

Volumn 20, Issue 1, 2014, Pages 45-65

  Murray Smith, David J ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

actuator; feedback; inverse; manoeuvre; model; nonlinear; simulation; underwater vehicle

Indexed keywords

INVERSE; MANOEUVRE; NONLINEAR; SIMULATION; UNDERWATER VEHICLES;

ACTUATORS; AUTONOMOUS UNDERWATER VEHICLES; CONTROL SURFACES; CONTROL SYSTEM SYNTHESIS; FEEDBACK; MIMO SYSTEMS; MODELS; NONLINEAR FEEDBACK; VEHICLES;

COMPUTER SIMULATION;

EID: 84891912470     PISSN: 13873954     EISSN: 17445051     Source Type: Journal    
DOI: 10.1080/13873954.2013.805146     Document Type: Article

References (27)

1. R.A. Hess, C. Gao, and S.H. Wang, A generalized technique for inverse simulation applied to aircraft maneuvers, AIAA J. Guidance Control and Dynamics 14 (5) (1991), pp. 920-926.
2. D.G. Thomson and R. Bradley, The principles and practical application of helicopter inverse simulation, Simulat. Pract. Theory. 6 (1) (1998), pp. 47-70.
3. D. Thomson and R. Bradley, Inverse simulation as a tool for flight dynamics research - principles and applications, Prog. Aerospace Sci. 42 (3) (2006), pp. 174-210.
4. L. Lu, D.J. Murray-Smith, and D.G. Thomson, Issues of numerical accuracy and stability in inverse simulation, Simulat. Model. Pract. Theory 16 (2008), pp. 1350-1364.
5. S. Rutherford and D.G. Thomson, Improved methodology for inverse simulation, Aeronautical J. 100 (993) (1996), pp. 79-86.
6. D. Anderson, Modification of a generalised inverse simulation technique for rotorcraft flight, Proc. Inst. Mech. Eng., (Part G - J. Aerospace Eng.). 217 (2003), pp. 61-73.
7. O. Kato and I. Suguira, An interpretation of airplane motion and control as inverse problems, AIAA J. Guidance, Control and Dynamics 9 (2) (1986), pp. 198-204.
8. S. Lee and Y. Kim, Time domain finite element method for inverse problem of aircraft maneuvers, AIAA J. Guidance, Control and Dynamics 20 (1) (1997), pp. 97-103.
9. R. Celi, Optimisation based inverse simulation of a helicopter slalom maneuver, AIAA J. Guidance Control and Dynamics 23 (2) (2000), pp. 289-297.
10. M. Thümme, G. Looye, M. Kurze, M. Otter, and J. Bals, Nonlinear inverse models for control, in Proceedings of the 4th International Modelica Conference, G. Schmitz, ed., Hamburg, Germany, 7-8 March 2005, Modelica Organisation, Linköping, 2005, pp. 267-279.
11. D.J. Murray-Smith, Modelling and Simulation of Integrated Systems in Engineering, Woodhead Publishing, Cambridge, 2012.
12. M. Fleiss, J. Lévine, P. Martin, and P. Rouchon, Flatness and defect of non-linear systems: Introductory theory and examples, Int. J. Control 61 (6) (1995), pp. 1327-1361.
13. W. Blajer and K. Kołodziejczky, Improved DAE formulation for inverse dynamics simulation of cranes, Multibody Sys. Dyn. 25 (2) (2011), pp. 131-143.
14. G. Irwin, K. Warwick, and K.J. Hunt (eds.), Neural Network Applications in Control, Institution of Electrical Engineers, Stevenage, 1995, pp. 125-128.
15. J.J. Buchholz and W. von Grünhagen, Inversion Impossible? Technical Report, University of Applied Sciences, Bremen, September 2004.
16. Y. Tagawa and K. Fukui, Inverse dynamics calculation of nonlinear model using low sensitivity compensator, in Proceedings of Dynamics and Design Conference, Japan Society of Mechanical Engineers, Tokyo, 1994, pp. 185-188.
17. G. Venture, T. Kojima, and Y. Tagawa, Fast motion control of robotic systems using inverse dynamics compensation via'simulation of feedback control systems' (IDCS), in Proceedings of 1st Joint Conference on Multibody System Dynamics, 25-27 May 2010, Lappeenranta, Finland.
18. Y. Tagawa, J.-Y. Tu, and D.P. Stoten, Inverse dynamics compensation via 'simulation of feedback control systems, Proc. Institution of Mech. Eng., Part I: J. Sys. and Control Eng., 225 (2012), pp. 137-153.
19. D.J. Murray-Smith, Feedback methods for inverse simulation of dynamic models for engineering applications, Math. Comput. Model. Dyn. Sys. 17 (5) (2011), pp. 515-541.
20. D.J. Murray-Smith, The application of parameter sensitivity analysis methods to inverse simulation models, Math. Comput. Model. Dyn. Sys. 19 (1) (2013), pp. 67-90.
21. A.J. Healey and D. Lienard, Multivariable sliding mode control for autonomous diving and steering of unmanned underwater vehicles, IEEE J. Oceanic Eng. 18 (3) (1993), pp. 327-339.
22. J.J. Zenor, D.J. Murray-Smith, E.W. McGookin, and R.E. Crosbie, Development of a multi-rate simulation model of an unmanned underwater vehicle, in Proceedings Mathmod Conference, Vienna, 2009, I. Troch and F. Breitenecker, eds., Argesim, Vienna, 2009, pp. 1950-1957.
23. T.I. Fossen, Guidance and Control of Ocean Vehicles, Wiley, Chichester, 1994.
24. S.F. Hoerner, Fluid Dynamic Drag, Hoerner Publications, New York, 1968.
25. T.I. Fossen and T. Perez, MSS, Marine Systems Simulator. Available at http://www.marinecontrol.org. (Accessed 16 December 2012), Norwegian University of Science and Technology (NTNU), Trondheim, 2010.
26. D.G. Thomson and R. Bradley, Mathematical definition of helicopter maneuvers, J. American Helicopter Society 42 (4) (1997), pp. 307-309.
27. M. Borri, C.L. Bottasso, and F. Montelaghi, Numerical approach to inverse flight dynamics, AIAA J. Guidance Control and Dynamics 20 (4) (1997), pp. 742-747.