Dynamic modelling of a twin rotor mimo system using grey box approach

Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008

Volumn , Issue , 2008, Pages

  Rahideh, Akbar ^a,b   Shaheed, M Hasan ^b  

^a SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREES OF FREEDOM; DEVELOPED MODEL; DYNAMIC EQUATIONS; DYNAMIC MODELLING; ESTIMATED PARAMETER; GA OPTIMIZATION; GREY-BOX; GREY-BOX MODELLING; GREY-BOX MODELS; INITIAL POPULATION; MULTI-INPUT MULTI-OUTPUT SYSTEM; NEWTONIAN METHOD; NON-LINEAR AERODYNAMICS; NONLINEAR MODEL PREDICTIVE CONTROL; TEST RIGS; TWIN ROTOR MIMO SYSTEM; TWIN-ROTORS;

GENETIC ALGORITHMS; MECHATRONICS; MIMO SYSTEMS; PARAMETER ESTIMATION; PREDICTIVE CONTROL SYSTEMS;

MODEL PREDICTIVE CONTROL;

EID: 69549122375     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISMA.2008.4648835     Document Type: Conference Paper

References (17)

1. W.D. Chang, "Nonlinear System Identification and Control using a Real-coded Genetic Algorithm", Applied Mathematical Modelling, Vol.31, 2007, pp. 541-550. (Pubitemid 44712649)
2. Feedback Co., Twin Rotor MIMO System 33-220 user manual, 1998.
3. S.M. Ahmad, M.H. Shaheed, A.J. Chipperfield, M.O. Tokhi, "Nonlinear Modelling of a Twin Rotor MIMO System Using Radial Basis Function Networks", IEEE National Aerospace and Electronics Conference, 2000, pp. 313-320. (Pubitemid 32873281)
4. S.M. Ahmad, A.J. Chipperfield, M.O. Tokhi, "Dynamic Modelling and optimal Control of a Twin Rotor MIMO System", IEEE National Aerospace and Electronics Conference, 2000, pp. 391-398. (Pubitemid 32873270)
5. M.H. Shaheed, "Performance analysis of 4 types of conjugate 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. (Pubitemid 40408299)
6. I.Z. Mat Darus, F.M. Aldebrez, M.O. Tokhi, "Parametric Modelling of a Twin Rotor System using Genetic Algorithms", International Symposium on Control, Communications and Signal Processing, 2004, pp. 115-118.
7. N.R. Kristensen, H. Madsen, S.B. Jorgensen, "A method for systematic improvement of stochastic grey-box models", Computers and Chemical Engineering, Vol.28, 2004, pp. 1431-1449. (Pubitemid 38609093)
8. J. Spannar, P. Wide, B. Sohlberg, "Estimation of a Non- Measurable Variable by Using Grey Box Modelling", IEEE Con. on Instr. and Measurement Tech., Budapest, May 2001, pp. 778-783. (Pubitemid 32883859)
9. K.C. Tan, Y. Li, P.J. Gawthrop, A. Glidle, "Evolutionary Greybox Modelling for Practical Systems", IEE Conference on Genetic Algorithm in Engineering Systems, Sep. 1997, pp. 369-375.
10. R.K. Pearson, M. Pottmann, "Grey-box Identification of Block-oriented Nonlinear Models", Journal of Process Control, Vol.10, 2000, pp. 301-315. (Pubitemid 30585516)
11. Q. Xiong, A. Jutan, "Grey-box Modelling and Control of Chemical Processes", Chemical Engineering Science, Vol.57, 2002, pp. 1027-1039. (Pubitemid 34444006)
12. Y. Oussar, G. Dreyfus, "How to be a grey box: dynamic semiphysical modelling", Neural Networks, Vol.14, 2001, pp. 1161-1172. (Pubitemid 32910628)
13. B. Sohlberg, "Hybrid Grey-box Modelling of a Pickling Process", Control Engineering Practice, Vol.13, 2005, pp. 1093-1102. (Pubitemid 40621976)
14. C.S. Ong, J.J. Huang, G.H. Tzeng, "Model identification of ARIMA family using genetic algorithms", Applied Mathematics and Computation, Vol.164, 2005, pp. 885-912. (Pubitemid 40467229)
15. N.R. Kristensen, H. Madsen, S.B. Jorgensen, "Parameter Estimation in Stochastic Grey-box Models", Automatica, Vol.40, 2004, pp. 225-237.
16. J.D. Cerro, J. Valero, A. Barrientos, "Identification of a Small Unmanned Helicopter Model using Genetic Algorithms", IEEE International Conference on Intelligent Robots and Systems, August 2005, pp. 3360-3365.
17. A. Rahideh, M.H. Shaheed, "Mathematical Dynamic Modelling of a Twin Rotor Multiple Input-Multiple Output System", Proc. IMechE, Part I: Journal of Systems and Control Engineering, Vol.221, 2007, pp. 89-101.