Robust Control of an Unmanned Underwater Vehicles with Parametric Uncertainty

Ismaila Tijani, Agus Budiyono

Abstract


The complex dynamics coupled with operational condition have made an unmanned underwater vehicle susceptible to perturbation due to parametric uncertainty. This has necessitated the need for a robust control technique capable of not only guarantee robustness to unstructured uncertainty, but also account for inherent parametric uncertainty in the system dynamics. This paper presents an optimized based extended H-infinity loop-shaping design procedure for the synthesis of a control system capable of addressing the problem of parametric perturbations in the unmanned underwater vehicle dynamics. The design problem formulation and procedure, together with performance evaluation are highlighted in the paper. Validation of the robustness is examined explicitly using structured singular value analysis.

Keywords


Unmanned Underwater vehicle; Robust Control; Extended H-infinity; Parametric Uncertainty; Multiobjectives Differential Evolution;

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References


Ura T., AUV ‘r2D4’, Its Operation, and Road Map for AUV Development, in: Advances in Unmanned Marine Vehicles,edited by G.N. Roberts & R. Sutton, ( IEE Control Series 69) 2006.

A. Budiyono, Muljowidodo and A. Sugama, “Coefficient Diagram Method for the Control of an Unmanned Underwater Vehicle,” Indian J Mar Sci., 38(3):316-323, Sept. 2009

R. K. Lea, R. Allen and S. L.Merry, “A comparative study of control techniques for an underwater flight vehicle,” International Journal of Systems Science, volume 30, number 9, 1999, pp. 947- 964

Agus Budiyono, “Advances in unmanned underwater vehicles technologies: Modeling, control and guidance perspectives’, Indian J. of Geo-Marine Sciences, October 2009.

Herman, P., Decoupled PD set-point controller for underwater vehicles. Ocean Engineering, 2009, vol. 36, no. 6-7, p. 529 to 534.

Wei YH, Peng FG, Sheng C, et al. Control method of the stability of AUV. J Huazhong Univ Sci Technol Nat Sci Ed 2014; 42: 127–132.

Rodrigues, L., Tavares, P., Prado, M. Sliding mode control of an AUV in the diving and steering planes. In Proceedings of the MTS/IEEE Oceans’06 Conference. FortLauderdale (FL, USA), 1996, p. 576 - 583.

Sabiha A Wadoo, Sadiksha Sapkota, Keerthish Chagachagere, “Optimal Control of an Autonomous Underwater Vehicle’, Systems, applications and technology conference (LISAT), 4 May, 2012, IEEE Long Island.

Field, A. I., Cherches, D., Calisal, S. Optimal control of an autonomous underwater vehicle. In Proceedings of the World Automatic Congress. Hawaii (USA), 2000, vol. 1, no. 38.

I.B. Tijani and A. Budiyono, (2016). “Control of an Unmmaned Underwater Vehicles using an Optimized LQR Method”, Marine and Underwater Science and Technology, ISIUS, vol. 1, no. 1, 2016.

Lin-LinWang,Hong-JianWang, and Li-Xin Pan. ‘H∞ control for path tracking of autonomous underwater vehicle motion, Advances in Mechanical Engineering2015, Vol. 7(5) 1–18.

Triantafyllou M.S. & Grosenbaugh M.A., Robust Control for Underwater Vehicle Systems with Time Delays, IEEE Journal of Oceanic Engineering, 16(1991) 146-151.

Yuh J., A Neural Net Controller For Underwater Robotic Vehicles, IEEE Journal of Oceanic Engineering, 15 (1990), 161-166.

Craven, P. J. (1999). Intelligent control strategies for an autonomous underwater vehicle. PhD Thesis,University of Plymouth, UK

Ishii K., Fujii T. & Ura T., Neural network system for online controller adaptation and its application to underwater robot, (Proceedings of IEEE International Conference on Robotics & Automation) 1998, pp. 756–761.

Xiaoyu Z., Yuntao H., Tao B., Yanhui W. and Kemao M. (2015). “H Controller design using LMIs for high-speed underwater vehicles in presence of uncertainties and disturbances”. Ocean Engineering, Elsevier.

Gu, D., Petko, H. P. & Mihail, M. K. (2005). Robust control design with MATLAB.Springer-Verlag London Limited.

Muljowidodo, Jenie S.D., Budiyono A. & Adinugroho S., Design, Development and Testing of Underwater Vehicles: ITB Experience, paper presented at The International Conference on Underwater System Technology: Theory and Application, Penang, Malaysia, 2006.

I.B. Tijani and A. Budiyono,(2016). “Robust Control using an Extended H-Infinity Approach: Concepts and Application”,Journal of Mathematics, Statistics and Applications, ISSN: 2288-7113, vol. 1, 2016.

McFarlane, D. & Glover, K., (1990). Robust controller design using normalized coprime factor plant descriptions. Springer Verlag Lecture notes in control and information science series.

Stoorvogel, A. A., (1992). The H∞ control problem: a state space approach. Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor U.S.A.

Tijani I.B.. Flight control system with MODE based H-infinity for small scale autonomous helicopter. PhD thesis submitted to Mechatronics engineering department, IIUM,Malaysia, October 2012.

Bourhane Kadmiry, (2002), ‘Fuzzy Control for an Unmanned Helicopter’, PhD thesis, Linköping Studies in Science and Technology, Department of Computer and Information Science, Linköpings Universitet, SE- 581 83 Linköping, Sweden




DOI: http://dx.doi.org/10.21535%2Fjias.v2i3.899

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