Following control for a UUV using temporary path generation guidance

Zheping Yan , Dongnan Chi , Jiajia Zhou , Yufei Zhao

Journal of Marine Science and Application ›› 2012, Vol. 11 ›› Issue (2) : 236 -243.

PDF
Journal of Marine Science and Application ›› 2012, Vol. 11 ›› Issue (2) : 236 -243. DOI: 10.1007/s11804-012-1128-z
Article

Following control for a UUV using temporary path generation guidance

Author information +
History +
PDF

Abstract

A path following control algorithm for an unmanned underwater vehicle (UUV) using temporary path generation guidance was proposed in this paper. Owing to different initial states of the vehicle, such as position and orientation, the path following control in the horizontal plane may yield a poor performance. To deal with the negative effect induced by initial states, a temporary path generation was presented based on the relationship between the original reference path and the vehicle’s initial states. With different relative positions between the vehicle and reference path, including out of straight lines, as well as inside and outside a circle, the related temporary paths guiding the vehicle to the reference path were able to be generated in real time. The vehicle was guided to steer along the temporary path until it reached the tangent point at the reference path, where the controller was designed using the input-output feedback linearization method. Simulation results demonstrated that the proposed algorithm is effective under the three different situations mentioned above.

Keywords

nonlinear control / path following control / UUV / temporary path generation / input-output feedback linearization

Cite this article

Download citation ▾
Zheping Yan, Dongnan Chi, Jiajia Zhou, Yufei Zhao. Following control for a UUV using temporary path generation guidance. Journal of Marine Science and Application, 2012, 11(2): 236-243 DOI:10.1007/s11804-012-1128-z

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Cheng Xiangqin (2008). Research on the robust heading control for AUV based on feedback linearization in near surface. Master thesis, College of Automation, Harbin Engineering University, 50–65.

[2]

Do K.D., Pan J. State-and output-feedback robust path-following controllers for underactuated ships using Serret-Frenet frame. Ocean Engineering, 2004, 31: 587-613

[3]

Han B., Zhao G. Path tracking control of underactuated surface vessels based on the differential flatness. Journal of Harbin Engineering University, 2004, 25(6): 709-713

[4]

Jean J.E., Li W.-p. Applied nonlinear control, 2006, Beijing, China: China Machine Press, 125-159

[5]

Jiang Y. Neural network based on feedback linearization control of an unmanned aerial vehicle, 2005, Ottawa: Ottawa-Carlenton Institute for Mechanical and Aerospace Engineering University of Ottawa, 23-49

[6]

Lionel L., Bruno J. Robust nonlinear path-following control of an AUV. IEEE Journal of Oceanic Engineering, 2008, 33(2): 89-102

[7]

Reeds J.A., Shepp L.A. Optimal paths for a car that goes both forwards and backwards. Pacific Journal of Mathematics, 1990, 145(2): 367-393

[8]

Sarkar N., Yun X., Kumar U. Control of mechanical systems with rolling constraints: application to dynamic control of mobile robots. International Journal of Robotics Research, 1994, 13(1): 55-69

[9]

Seunghee L, Jong HP (1999). Dynamic path-following using temporary path generator for mobile robots with nonholonomic constraints. IEEE Systems, Man, and Cybernetics 1999 Conference Proceedings, Tokyo, 631–636.

[10]

Sivestre C., Pascoal A. Control of an AUV in the vertical and horizontal planes: system design and tests at sea. Transactions of the Institute of Measurement and Control, 1997, 19(3): 126-138

[11]

Wang H., Xiong W. Research on global path planning based on ant colony optimization for AUV. Journal of Marine Science and Application, 2009, 8(1): 58-64

[12]

Xiao K., Fang S., Pang Y. Strong tracking adaptive Kalman filters for underwater vehicle dead reckoning. Journal of Marine Science and Application, 2007, 6(2): 19-24

AI Summary AI Mindmap
PDF

125

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/