Mathematical dynamic modelling of a twin-rotor multiple input-multiple output system

Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

Volumn 221, Issue 1, 2007, Pages 89-101

  Rahideh, A ^a   Shaheed, M H ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Dynamic; Lagrange; Modelling; Newton; Twin rotor multi input multi output system

Indexed keywords

AERODYNAMICS; DEGREES OF FREEDOM (MECHANICS); DYNAMIC MODELS; LAGRANGE MULTIPLIERS; NEWTONIAN FLOW;

DYNAMIC EQUATIONS; LAGRANGIAN METHODS; ONE DEGREE OF FREEDOM; TWIN ROTOR MULTI INPUT MULTI OUTPUT SYSTEMS;

ROTORS;

EID: 34247123584     PISSN: 09596518     EISSN: None     Source Type: Journal    
DOI: 10.1243/09596518JSCE292     Document Type: Article

References (18)

1. Twin Rotor MIMO System 33-220 User Manual, 1998 (Feedback Instruments Limited, Crowborough, UK).
2. Ahmad, S. M., Shaheed, M. H., Chipperfield, A. J., and Tokhi, M. O. Nonlinear modelling of a twin rotor MIMO system using radial basis function networks. IEEE National Aerospace and Electronics Conference, 2000, pp. 313-320.
3. Ahmad, S. M., Chipperfield, A. J., and Tokhi, M. O. Dynamic modelling and optimal control of a twin rotor MIMO system. IEEE National Aerospace and Electronics Conference, 2000, pp. 391-398.
4. Shaheed, M. H. Performance analysis of 4 types of conjugale gradient algorithm in the nonlinear dynamic modelling of a TRMS using feedforward neural networks. IEEE International Conference on Systems, man and cybernetics, 2004, pp. 5985-5990.
5. Mat Darus, I. Z., Aldebrez, F. M., and Tokhi, M. O. Parametric modelling of a twin rotor system using genetic algorithms. International Symposium on Control, communications and signal processing, 2004, pp. 115-118.
6. Aldebrez, F. M., Mat Darus, I. Z., and Tokhi, M. O. Dynamic modelling of a twin rotor system in hovering position. International Symposium on Control, communications and signal processing, 2004, pp. 823-826.
7. Rao, M., Biswas, S. K., Butz, B. P., and Miller, D. G. Dynamic modelling and feedback control of a side-by-side rotor tandem helicopter. Proceedings of the IEEE International Symposium on Intelligent control systems, Philadelphia, Pennsylvania, September 1990, pp. 780-785.
8. Wu, X., Ignatov, R., Muenst, G., Imaev, A., and Zhu, J. J. A nonlinear flight controller design for a UFO by trajectory linearization method. Part I: modelling. In Proceedings of the 34th Southeastern Symposium on System theory, 2002, pp. 97-102.
9. Mistier, V., Benalleque, A., and Msirdi, N. K. Exact linearization and non-interacting control of a 4 rotors helicopter via dynamic feedback. 10th IEEE International Workshop on Robot and human inter-active communication, September 2001, pp. 586-593.
10. Mahony, R., Hamel, T., and Dzul, A. Hover control via Lyapunov control for an autonomous model helicopter. IEEE Conference on Decision and control, 1999, vol. 4, pp. 3490-3495.
11. Castillo, P., Dzul, A., and Lozano, R. Real-time stabilization and tracking of a four-rotor mini rotorcraft. IEEE Trans. Control Syst. Technol., 2004, 12(4), 510-516.
12. Somov, Y. I. and Polyntsev, O. Y. Nonlinear dynamics and control of a wind-milling gyroplane rotor. International Conference on Physics and control, August 2003, vol. 1, pp. 151-156.
13. Avila-Vilchis, J. C., Brogliato, B., Dzul, R., and Lozano, R. Nonlinear modelling and control of helicopters. Automatica, 2003, 39(9), 1583-1596.
14. Cerro, J. D., Valero, J., and Barrientos, A. Identification of a small unmanned helicopter model using genetic algorithms. IEEE International Conference on Intelligent robots and systems, August 2005, pp. 3360-3365.
15. Song-Yun, D., Ji-Hong, Z., and Chun-Hua, H. Mathematical modelling of a UAV during take-off with nose-wheel off the ground. World Automation Congress, June 2004, vol. 15, pp. 359-364.
16. Jun, M., Roumeliotis, S. I., and Sukhatme, G. S. State estimation of an autonomous helicopter using Kalman filtering. IEEE International Conference on Intelligent robots and systems, October 1999, vol. 3, pp. 1346-1353.
17. Juang, J. G., Liu, W. K., and Tsai, C. Y. Intelligent control scheme for twin rotor M1MO system. IEEE International Conference on Mechatronics, 2005, pp. 102-107.
18. Islam, B. U., Ahmed, N., Bhattl, D. L., and Khan, S. Controller design using fuzzy logic for a twin rotor MIMO system. IEEE International Multi Topic Conference, 2003, pp. 264-268.