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2017 | OriginalPaper | Chapter

Predictive Controller Design Using Ant Colony Optimization Algorithm for Unmanned Surface Vessel

Authors : Dongming Zhao, Tiantian Yang, Wen Ou, Hao Zhou

Published in: Bio-inspired Computing: Theories and Applications

Publisher: Springer Singapore

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Abstract

This paper presents a predictive control approach based on ant colony optimization algorithm for critical maneuvering of unmanned surface vehicle in high sea environment. The algorithm uses the generalized predictive control to get the predictive course value. In the process of the algorithm, the ant colony algorithm is used to obtain the optimal control sequence of the rudder angle. The obtained simulation results show that the algorithm solves the problem of overshoot of course controller, and realizes the precise control of USV course in the case of large disturbance of wind and wave, then solves the saturation nonlinear problem of unmanned surface vessel in extreme sea condition.

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Literature
1.
Liu, C., Chu, X., Wu, Q., Wang, G.: USV Development Status and Prospects. China Shipbuilding, pp. 194–205 (2014)
2.
Mcninch, L.C., Muske, K.R., Ashrafiuon, H.: Model-based predictive control of an unmanned surface vessel. In: 11th IASTED International Conference on Intelligent Systems and Control, pp. 385–390 (2008)
3.
Wang, C.S., Xiao, H.R., Han, Y.Z.: Applications of ADRC in unmanned surface vessel course tracking. J. Appl. Biomat. Bio. 427–429, 897–900 (2013)
4.
Li, C., Zhao, Y., Wang, G., Fan, Y., Bai, Y.: Adaptive RBF neural network control for unmanned surface vessel course tracking. In: International Conference on Information Science and Technology, pp. 285–290. IEEE (2016)
5.
Mcninch, L.C., Ashrafiuon, H.: Predictive and sliding mode cascade control for unmanned surface vessels. In: American Control Conference, pp. 184–189. IEEE (2011)
6.
Jiang, L., Mu, D., Fan, Y., Wang, G.: Study on USV model identification and nonlinear course control. Comput. Meas. Control 24, 133–136 (2016)
7.
Mu, D., Zhao, Y., Wang, G., Fan, Y., Bai, Y.: USV model identification and course control. In: Sixth International Conference on Information Science and Technology, pp. 263-267. IEEE (2016)
8.
Mu, D., Zhao, Y., Wang, G., Fan, Y., Bai, Y.: Course control of USV based on fuzzy adaptive guide control. In: Control and Decision Conference, pp. 6433–6437. IEEE (2016)
9.
Larrazabal, J.M., Penas, M.S.: Intelligent rudder control of an unmanned surface vessel. Exper. Syst. Appl. 55, 106–117 (2016)CrossRef
10.
Abdolmalaki, R.Y., Mahjoob, M.J., Abbasi, E.: Fuzzy LQR controller for heading control of an unmanned surface vessel. In: International Workshops in Electrical-Electronics Engineering. ACE (2013)
11.
Wang, Y.: Based on auto disturbance rejection control algorithm for course autopilot of unmanned surface vessel design. Dalian Maritime University (2014)
12.
Annamalai, A.S.K.: An adaptive autopilot design for an uninhabited surface vehicle. University Of Plymouth (2014)
13.
Ruirui, L.: Research And Application On Generalized Predictive Control Based on Particle Swarm Optimization Algorithm. LanZhou JiaoTong University (2012)
14.
Yang, J.: Ant Colony Algorithm and Its Application Research. Zhejiang University (2007)
15.
Shangyong, F.: Ship Maneuverability. National Defense Industry Press, Beijing (1988)
16.
Moe, S., Pettersen, K.Y.: Set-based Line-of-Sight (LOS) path following with collision avoidance for underactuated unmanned surface vessel. In: 24th Mediterranean Conference Control and Automation, pp. 402–409. IEEE (2016)
Metadata
Title
Predictive Controller Design Using Ant Colony Optimization Algorithm for Unmanned Surface Vessel
Authors
Dongming Zhao
Tiantian Yang
Wen Ou
Hao Zhou
Copyright Year
2017
Publisher
Springer Singapore
Book
Bio-inspired Computing: Theories and Applications

Print ISBN: 978-981-10-7178-2

Electronic ISBN: 978-981-10-7179-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-7179-9_44

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