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Adaptive control schemes for autonomous underwater vehicle

Published online by Cambridge University Press:  01 January 2009

Yeow Cheng Sun  and
Chien Chern Cheah
Yeow Cheng Sun*
Affiliation:
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore639798
Chien Chern Cheah
Affiliation:
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore639798
*
*Corresponding author. E-mail: sunyc@pmail.ntu.edu.sg
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Summary

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In this paper, two adaptive proportional-derivative (PD) control laws are proposed for autonomous underwater vehicle (AUV). The proposed adaptive controllers require only model of gravity and buoyancy regressor matrix and do not need any knowledge of inertia matrix, Coriolis and centripetal force, hydrodynamic damping, and the parameters of the gravity and buoyancy force. Hence, the proposed controllers have the advantages of simplicity and ease of implementation. We shall also prove that the setpoint controller is a special case of the region reaching controller when a desired region is reduced to a point. Furthermore, the inverse Jacobian matrix is not required in the control laws. Lyapunov-like functions are proposed for the stability analysis. Simulations are presented to demonstrate the effectiveness of the proposed controllers.

Keywords

underwater vehicleadaptive controlregion reachingstability

Information

Type
Article
Information
Robotica , Volume 27 , Issue 1 , January 2009 , pp. 119 - 129
Copyright
Copyright © Cambridge University Press 2008

References

1.Fossen, T. I., Guidance and Control of Ocean Vehicles (John Wiley & Sons, 1994).Google Scholar
2.Fossen, T. I., Marine Control Systems: Guidance, Navigation and Control of Ships, Rigs and Underwater Vehicles (Marine Cybernetics AS, Trondheim, 2002).Google Scholar
3.Whitcomb, L. L.g, “Underwater Robotics: Out of the Research Laboratory and Into the Field,” Proceedings of the 2000 IEEE International Conference on Robotics and Automation, San Francisco, CA (2000) pp. 709–716.Google Scholar
4.Smallwood, D. A. and Whitcomb, L. L., “Model-based dynamic positioning of underwater robotic vehicles: Theory and experiment,” IEEE J. Oceanic Eng. 29 (1), 169–186 (2004).Google Scholar
5.Takegaki, M. and Arimoto, S., “A new feedback method for dynamic control of manipulators,” ASME J. Dyn. Syst., Measure. Cont. 102, 119–125 (1981).Google Scholar
6.Fossen, T. I. and Sagatun, S. I., “Adaptive Control of Nonlinear Underwater Robotic Systems,” Proceedings of the 1991 IEEE International Conference on Robotics and Automation, Sacramento, CA (1991) pp. 1687–1694.Google Scholar
7.Yuh, J., Nie, J. and Lee, C. S. G., “Experimental Study on Adaptive Control of Underwater Robots,” Proceedings of the 1999 IEEE International Conference on Robotics and Automation, Detroit, MI (1999) pp. 393–398.Google Scholar
8.Zhao, S., Yuh, J. and Choi, H. T., “Adaptive dob Control of Underwater Robotic Vehicles,” MTS/IEEE Conference Exhibition, Honolulu, Hawaii, USA (2001) Vol. 1, pp. 397–402.Google Scholar
9.Yuh, J., “Modeling and control of underwater robotic vehicles,” IEEE Trans. Syst., Man, Cybernet. 20 (6), 1475–1483 (1990).Google Scholar
10.Fossen, T. I. and Sagatun, S. I., “Adaptive control of nonlinear systems: A case study of underwater robotics systems,” J. Rob. Syst. 8, 393–412 (1991).Google Scholar
11.Slotine, J. E. and Li, W., “Adaptive manipulator control: A case study,” IEEE Trans. Automat. Cont. 33 (11), 995–1003 (1987).CrossRefGoogle Scholar
12.Fjellstad, O. E. and Fossen, T. I., “Quaternion Feedback Regulation of Underwater Vehicles,” Proceedings of the Third IEEE Conference on Control Applications, Glasgow, Scotland (1994) Vol. 2, pp. 857–862.Google Scholar
13.Arimoto, S. and Miyazaki, F., “Stability and robustness of PID feedback control for robot manipulators of sensory capability,” In Brady, M. and Paul, R. eds.: Robotics Research: First International Symposium, MIT Press (1984) pp. 783–799.Google Scholar
14.Tomei, P., “Adaptive pd controller for robot manipulators,” IEEE Trans. Rob. Automat. 7, 565–570 (1991).CrossRefGoogle Scholar
15.Kelly, R., “Comments on adaptive pd controller for robot manipulators,” IEEE Trans. Rob. Automat. 9, 117–119 (1993).Google Scholar
16.Arimoto, S., Control Theory of Non-linear Mechanical Systems. A Passivity-based and Circuit-theoretic Approach (Clarendon Press, Oxford, 1996).CrossRefGoogle Scholar
17.Cheah, C. C., Hirano, M., Kawamura, S. and Arimoto, S., “Approximate Jacobian control for robots with uncertain kinematics and dynamics,” IEEE Trans. Rob. Automat. 19 (4), 692–702 (2003).Google Scholar
18.Cheah, C. C. and Sun, Y. C., “Region Reaching Control for Robots With Uncertain Kinematics and Dynamics,” IEEE Conference on Robotics and Automation, Florida, USA (2006) pp. 2577–2582.Google Scholar
19.Cheah, C. C., Wang, D. Q. and Sun, Y. C., “Region-reaching control of robots,” IEEE Trans. Rob. 23 (6), 1260–1264 (2007).CrossRefGoogle Scholar
20.Sun, Y. C. and Cheah, C. C., “Region reaching control for underwater vehicle with onboard manipulator,” IET Control Theory & Applications, (accepted).Google Scholar
21.Kelly, R., “Global positioning of robot manipulators via PD control plus a class of nonlinear integral actions,” IEEE Trans. Automat. Cont. 43 (7), 934–938 (1998).CrossRefGoogle Scholar
22.Choi, S., Yuh, J. and Keevil, N., “Design of omni-directional underwater robotic vehicle,” OCEANS '93. ‘Engineering in Harmony with Ocean’. Proceedings Victoria, BC, Canada, (Oct. 18–21, 1993), Vol. 1, pp. I192–I197.Google Scholar