Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-27T11:51:22.207Z Has data issue: false hasContentIssue false

Distributed control strategy for flexible link manipulators

Published online by Cambridge University Press:  13 March 2014

Raouf Fareh*
Affiliation:
Electrical Engineering Department, Université du Québec, École de Technologie Supérieure, 1100, rue Notre-Dame ouest, Montréal (Québec), H3C 1K3 Canada
Mohamad Saad
Affiliation:
School of Engineering, Université du Québec en Abitibi-Témiscamingue, 445, boul. de l'Université, Rouyn-Noranda (Québec), J9X 5E4 Canada
Maarouf Saad
Affiliation:
Electrical Engineering Department, Université du Québec, École de Technologie Supérieure, 1100, rue Notre-Dame ouest, Montréal (Québec), H3C 1K3 Canada
*
*Corresponding author. E-mail: raouf.fareh.1@ens.etsmtl.ca

Summary

This paper presents a nonlinear distributed control strategy for flexible-link manipulators to solve the tracking control problem in the joint space and cancel vibrations of the links. First, the dynamic of an n-flexible-link manipulator is decomposed into n subsystems. Each subsystem has a pair of one joint and one link. The distributed control strategy is applied to each subsystem starting from the last subsystem. The strategy of control consists in controlling the nth joint and stabilizing the nth link by assuming that the remaining subsystems are stable. Then, going backward to the (n − 1)th subsystem, the same control strategy is applied to each corresponding joint-link subsystem until the first. Sliding mode technique is used to develop the control law of each subsystem and the global stability of the resulting tracking errors is proved using the Lyapunov technique. This algorithm was tested on a two-flexible-link manipulator and gave effective results, a good tracking performance, and capability to eliminate the links' vibrations.

Type
Articles
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Cannon, R. H. Jr. and Schmitz, E., “Initial experiments on the end-point control of a flexible one-link robot,” Int. J. Robot. Res. 3 (3), 6275 (1984).Google Scholar
2. Shung, I., “Control of a Flexible Robot Arm with Bounded Input: Optimum Step Responses,” Proceedings of the IEEE International Conference on Robotics and Automation, Raleigh, NC, USA (Mar. 1–4, 1987) pp. 916.Google Scholar
3. Saini, S. C., Sharma, Y., Bhandari, M. and Satija, U., “Comparison of Pole Placement and LQR Applied to Single Link Flexible Manipulator,” Proceedings of the International Conference on Communication Systems and Network Technologies (CSNT), Rajkot, India (May 11–13, 2012) pp. 843847.Google Scholar
4. Rattan, K. S. and Feliu, V., “Feedforward Control of Flexible Manipulators,” Proceedings of the IEEE International Conference on Robotics and Automation, 1992, IEEE, Piscataway, NJ, USA (1992) pp. 788793.Google Scholar
5. Shan, J., Sun, D. and Liu, D., “Design for robust component synthesis vibration suppression of flexible structures with on-off actuators,” IEEE Trans Robot. Autom. 20 (3), 512525 (2004).CrossRefGoogle Scholar
6. Fareh, R., Saad, M. R. and Saad, M., “Adaptive Control for a Single Flexible Link Manipulator Using Sliding Mode Technique,” Proceedings of the 6th International Multi-Conference on Systems, Signals and Devices March 23–26, Djerba, Tunisia (2009) pp. 16.Google Scholar
7. Yang, J. H. and Jung Hua, Y., “Nonlinear adaptive control for flexible-link manipulators,” IEEE Trans Robot. Autom. 13 (1), 140 (1997).CrossRefGoogle Scholar
8. Pradhan, S. K. and Subudhi, B., “Real-time adaptive control of a flexible manipulator using reinforcement learning,” IEEE Trans. Autom. Science Eng. 9 (2), 237249 (2012).CrossRefGoogle Scholar
9. Maouche, A. R. and Attari, M., “CMAC Based Adaptive Control of a Flexible Link Manipulator,” Proceedings of the 35th Annual Conference of IEEE Industrial Electronics, Porto (May 3–5, 2009) pp. 14801485.Google Scholar
10. Moudgal, V. G., “Rule-based control for a flexible-link robot,” IEEE Trans. Control Syst. Technol. 2 (4), 392 (1994).CrossRefGoogle Scholar
11. Tang, Y., “Neural network control of flexible-link manipulators using sliding mode,” Neurocomputing 70 (1–3), 288 (2006).Google Scholar
12. Jnifene, A., “Experimental study on active vibration control of a single-link flexible manipulator using tools of fuzzy logic and neural networks,” IEEE Trans. Instrum. Meas. 54 (3), 1200 (2005).CrossRefGoogle Scholar
13. Wang, Y. and Yanmin, W., “High-Order Nonsingular Terminal Sliding Mode Optimal Control of Two-Link Flexible Manipulators,” Proceedings of the 37th Annual Conference of the IEEE Industrial Electronics Society, Melbourne, VIC (Nov. 7–10, 2011) pp. 3953.Google Scholar
14. Arisoy, A., Gokasan, M. and Bogosyan, O. S., “Sliding Mode Based Position Control of a Flexible-Link Arm,” Proceedings of the 12th International Power Electronics & Motion Control Conference, 30 Aug.–1 Sep. 2006, IEEE, Piscataway, NJ, USA (2006). pp. 402407.Google Scholar
15. Fu, K. S., Gonzalez, R. C. and Lee, C. S. G., Robotics : Control, Sensing, Vision, and Intelligence (McGraw-Hill, New York, 1987).Google Scholar
16. Khorrami, F., “Experimental Results on Active Control of Flexible-Link Manipulators with Embedded Piezoceramics,” Proceedings of the IEEE International Conference on Robotics and Automation, Atlanta, GA (May 2–6, 1993) pp. 222229.Google Scholar
17. Sun, D. and Mills, J. K., “Control of a rotating cantilever beam using a torque actuator and a distributed piezoelectric polymer actuator,” Appl. Acoust. 63 (8), 885 (2002).Google Scholar
18. Hillsley, K. L., “Vibration control of a two-link flexible robot arm,” Dyn. Control 3 (3), 212216 (1993).Google Scholar
19. Fareh, R., Saad, M. R. and Saad, M., “Workspace trajectory tracking control for two-flexible-link manipulator through output redefinition,” Int. J. Model. Identif. Control 18 (2), 119135 (2013).Google Scholar
20. De Luca, A. and Siciliano, B., “Closed-form dynamic model of planar multilink lightweight robots,” IEEE Trans. Syst. Man Cybern. 21 (4), 826839 (1991).CrossRefGoogle Scholar
21. Bartle, R. G. and Sherbert, D. R., Introduction to Real Analysis (Wiley, New York, 2000).Google Scholar
22. Spong, M. W. and Vidyasagar, M., Robot Dynamics and Control (J. Wiley, New York, 1989).Google Scholar
23. De Luca, A. and Siciliano, B., “Explicit Dynamic Modeling of a Planar Two-Link Flexible Manipulator,” Proceedings of the 29th IEEE Conference on Decision and Control Part 6, December 5–7, Honolulu, HI, USA (1990) pp. 528530.Google Scholar
24. Craig, J. J., Introduction to Robotics: Mechanics and Control (Pearson/Prentice Hall, Upper Saddle River, NJ, 2005).Google Scholar