CFP last date
20 May 2024
Reseach Article

Design of a PSO-based LQ Controller for Speed Tracking of Underwater Vehicles

by Mohammd Pourmahmood Aghababa, Mohammd Esmaeel Akbari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Number 8
Year of Publication: 2011
Authors: Mohammd Pourmahmood Aghababa, Mohammd Esmaeel Akbari
10.5120/2385-3156

Mohammd Pourmahmood Aghababa, Mohammd Esmaeel Akbari . Design of a PSO-based LQ Controller for Speed Tracking of Underwater Vehicles. International Journal of Computer Applications. 19, 8 ( April 2011), 1-6. DOI=10.5120/2385-3156

@article{ 10.5120/2385-3156,
author = { Mohammd Pourmahmood Aghababa, Mohammd Esmaeel Akbari },
title = { Design of a PSO-based LQ Controller for Speed Tracking of Underwater Vehicles },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 19 },
number = { 8 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume19/number8/2385-3156/ },
doi = { 10.5120/2385-3156 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:06:25.040306+05:30
%A Mohammd Pourmahmood Aghababa
%A Mohammd Esmaeel Akbari
%T Design of a PSO-based LQ Controller for Speed Tracking of Underwater Vehicles
%J International Journal of Computer Applications
%@ 0975-8887
%V 19
%N 8
%P 1-6
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper solves a linear Quadratic (LQ) optimal control problem for underwater vehicles to track desired speeds. To obtain the linear controller, nonlinear model of the underwater vehicles is linearized around an operating point. After explaining both nonlinear and linearized models a brief description of LQ controller designing procedure is reviewed. It is assumed that all system states are available to measure. Weighting matrices (Q and R) of the linear quadratic performance index are tuned to a desired step response acquired, by using Particle Swarm Optimization (PSO) that minimizes a performance criterion. It is supposed that Q and R matrices are diagonal. After designing the LQ controller for the linear nominal model it is embedded to the nonlinear model. Using nonlinear simulations the speed tracking efficiency of designed LQ controller is shown. Control efforts of actuators reveal no saturation, therefore they are feasible to implement.

References
  1. Fossen T. I., Guidance and Control of Ocean Vehicles, John Wiley & Sons Ltd, 1994.
  2. Triantafyllou, M. S., and Grosenbaugh, M. A. 1991. Robust Control for Underwater Vehicle Systems with Time Delays, IEEE Journal of Oceanic Engineering, vol. 16, no. 1, 146-151.
  3. Juul, D. L., McDermott, M., Nelson, E. L., Barnett, D. M. and Williams, G. N. 1994. Submersible Control Using the Linear Quadratic Gaussian with Loop Transfer Recovery Method, In Proceedings of the Symposium on Autonomous Underwater Technology, Cambridge, MA, USA, 417-425.
  4. Neam, W., Sutton, R., and Ahmad, S. M. 2003. LQG/LTR Control of an Autonomous Underwater Vehicle Using a Hybrid Guidance Law, Marine and Industrial Dynamic Analysis Group, the University of Plymouth, IFAC, 2003.
  5. Athans, M., and Falb, P. L., 1966. Optimal Control, McGraw-Hill Book Company, New York.
  6. Kennedy, J., and Eberhart, R., 1995. Particle Swarm Optimization, In Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, vol.4, 1942-1948.
  7. Kennedy, J. and Eberhart, R., 1995. Particle Swarm Optimization, In Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, vol.4, 1942-1948.
  8. Healey, A. J., and Lienard, D. 1993. Multivariable Sliding Model Control for Autonomous Diving and Steering of Unmanned Underwater Vehicles, IEEE Journal of Oceanic Engineering, vol. 18, no. 3, 327-339.
Index Terms

Computer Science
Information Sciences

Keywords

Underwater Vehicles Linear Quadratic Speed Tracker PSO