Modelling and open-loop control of a single-link flexible manipulator with genetic algorithms

Journal of Low Frequency Noise Vibration and Active Control

Volumn 20, Issue 1, 2001, Pages 39-55

  Shaheed, M H ^a   Tokhi, M O ^a   Chipperfield, A J ^a   Azad, A K M ^a  

^a NONE

Author keywords

Filtered torque input; Flexible manipulator; Genetic algorithms; Open loop control; Vibration suppression

Indexed keywords

EID: 0035537534     PISSN: 14613484     EISSN: 20484046     Source Type: Journal    
DOI: 10.1260/0263092011492975     Document Type: Article

References (25)

1. Akbarzadeh-T, M-. R., Jamshidi, M. and Kim, Y. T. (1997). Evolutionary fuzzy control of a flexible link. Proceedings of the IEEE International Conference on Robotics and Automation, New Mexico, pp. 1124-1129.
2. Alander, T. J. (1991). On finding the optimal genetic algorithms for robot control problems. The IEEE/RSJ International Workshop on Intelligent Robots and Systems, Osaka, Japan, pp. 1313-1318.
3. Aspinwall, D. M. (1980). Acceleration profiles for minimising residual response. ASME Journal of Dynamic Systems, Measurement and Control, Vol. 102, No. 1, pp.3-6.
4. Azad, A. K. M. (1994). Analysis and design of control mechanisms for flexible manipulator systems, PhD thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, UK.
5. Banks, S. (1990). Signal Processing Image Processing and Pattern Recognition. Prentice Hall International (UK) Ltd.
6. Bayo, E. (1988). Computed torque for the position control of open-loop flexible robots, Proceedings of the IEEE International Conference on Robotics and Automation, Philadelphia, 25-29 April, 1988, pp. 316-321.
7. Caponetto, R. C., Fortuna, L., Manganaro, G. and Xibilia M. G. (1995). Chaotic system identification via genetic algorithm. The 1st IEE/IEEE International Conference on GAs in Engineering Systems: Innovations and Applications, Sheffield, UK. pp. 170-174.
8. Chen, S., Cowan, C. F. N. and Grant, P. M. (1991). Orthogonal least squares learning algorithm for radial basis function networks. The IEEE Transactions on Neural Networks, Vol. 2, No. 2, pp. 302-309.
9. Chipperfield, A. J. and Fleming, P. J. (1994). Parallel Genetic Algorithms: A Survey, Research report no. 518, Department of Automatic Control and Systems Engineering, The University of Sheffield, UK.
10. Chipperfield, A. J., Fleming, P. J., Pohlheim, H. and Fonseca, C. (1994). A genetic algorithm toolbox for MATLAB. Proceedings of the International Conference on Systems Engineering, Conventry, UK, 06-08 September, 1994.
11. Davidor, Y. (1991). A genetic algorithm applied to robot trajectory generation, Handbook of genetic algorithms, L. Davis, Ed., 1991, pp. 144-165.
12. Fonseca, C. M., Mendes, E. M., Fleming, P. J. and Billings, S. A. (1993). Non-linear model term selection with genetic algorithms. Workshop on natural algorithms in signal processing, Chelmsford, Essex. pp. 27/1-27/8.
13. Ge, S. S., Lee, T. H. and Zhu, G. (1996). Genetic algorithm tuning of Lyapunov-based controllers: an application to a single-link flexible robot system. The IEEE Transactions on Industrial Electronics, Vol. 43, No. 5, pp. 567-574.
14. Holland, J. (1975). Adaptation in natural and artificial systems. University of Michigan Press, USA.
15. Kristinsson, K. and Dumont, G. (1992). System identification and control using genetic algorithms, The IEEE Transactions on Systems, Man and Cybernetics, Vol. 22, No. 5, pp. 1033-1046.
16. Man, K. F., Tang, K. S. and Kwong, S. (1996). Genetic Algorithms: concepts and applications. The IEEE Transactions on Industrial Electronics, Vol. 43, No. 5, pp. 519-533.
17. Meckl, P. H. and Seering, W. P. (1988). Controlling velocity limited systems to reduce residual vibration. Proceedings of the IEEE International Conference on Robotics and Automation, Philadelphia, USA, pp. 1428-1433.
18. Meckl, P. H. and Seering, W. P. (1990). Experimental evaluation of shaped inputs to reduce vibration of a cartesian robot. Transaction of the ASME Journal of Dynamic Systems, Measurement and Control, Vol. 112, No. 6, pp. 159-165.
19. Menq, C. -H. and Chen, J. -S. (1988). Dynamic model and pay load-adaptive control of a flexible manipulator. Proceedings of the IEEE Conference on Robotics and Automation, Philadelphia, USA, pp. 448-453.
20. Michalewicz, Z. (1996). Genetic Algorithms + Data Structures = Evolution Program, 3rd Ed.: Springer-Verlag, Berlin.
21. Poerwanto H. (1998). Dynamic simulation and control of flexible manipulator systems. PhD thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK.
22. Singer, N. C. and Seering, W. P. (1992). An extension of command shaping methods for controlling residual vibration using frequency sampling. Proceedings of the IEEE International Conference on Robotics and Automation, pp. 800-805.
23. Tokhi, M. O. and Azad, A. K. M. (1995). Active vibration suppression of flexible manipulator systems-Open-loop control methods. International Journal of Active Control, Vol. 1, No. 1, pp. 15-43.
24. Tokhi, M. O. Shaheed, M. H., and Poerwanto, H. (1999). Dynamic modelling of a single-link flexible manipulator using multi-layered perceptron neural networks. Asia/Pacific International Congress on Engineering Computational Modelling and Signal Processing, Bandung, Indonesia, 24-26 November, 1999, pp. 185-194.
25. Zverev, A. I. (1967). Handbook of Filter Synthesis, Wiley, New York.