SIWPSO-Based Controller Design for AUV

Article Preview

Abstract:

A strategy is proposed for a control system with a linearized autonomous underwater vehicle (AUV) dynamic model. The proposed approach combines the particle swarm optimization (PSO) and proportional-integral-derivative (PID) controller to adjust the parameters of the linearized dynamic model. The linear and nonlinear model are both considered in our work. The proposed techniques is verified by using the simulation results to the model of AUV.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

736-740

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Santhakumar. M, Asokan. T: Coupled, Non-linear Control System Design for Autonomous Underwater Vehicle (AUV), 2008 10th Intl. Conf. on Control, Automation, Robotics and Vision Hanoi, Vietnam, 17–20 December (2008).

DOI: 10.1109/icarcv.2008.4795893

Google Scholar

[2] Rob McEwen, Knut Streitlien: Modeling and Control of a Variable-Length AUV, In 12th International Symposium on Unmanned Untethered Submersible Technology (UUST) Conference, 27 August 2001, University of New Hampshire, Durham, NH.

Google Scholar

[3] Bruno Ferreira, Miguel Pinto, Aníbal Matos and Nuno Cruz: Control of the MARES Autonomous Underwater Vehicle, OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges.

DOI: 10.23919/oceans.2009.5422133

Google Scholar

[4] Fang, H.; Chen, L.; Shen Z: Application of an improved PSO algorithm to optimal tuning of PID gains for water turbine governor, Energy Conversion and Management, 2011, 52, 1763-1770.

DOI: 10.1016/j.enconman.2010.11.005

Google Scholar

[5] Shi, Y.; Eberhart, R. C: Particle swarm optimization: developments, applications and resources, Evolutionary Computation, Seoul, Korea, May. 2001; Volume 1, pp.81-86.

DOI: 10.1109/cec.2001.934374

Google Scholar