Design of intelligent ship autopilots using particle swarm optimization

Author

Samanta, B. ; Nataraj, C.

Author_Institution

Dept. of Mech. Eng., Villanova Univ., Villanova, PA

fYear

2008

fDate

21-23 Sept. 2008

Firstpage

1

Lastpage

7

Abstract

A study is presented on the application of particle swarm optimization (PSO) to design intelligent autopilots for ship steering. Two versions of PSO-conventional and anti-predatory (APSO) - have been used. The autopilot consists of a fuzzy logic controller (FLC) emulating the characteristics of manual ship steering. The parameters for the FLC are optimized using PSO and APSO. The robustness of the autopilot based on the optimized FLC is illustrated through the simulation of a realistic nonlinear ship model. The steering performance of the optimal FLC is compared with a PID type autopilot designed with and without PSO.

Keywords

fuzzy control; particle swarm optimisation; ships; steering systems; three-term control; PID type autopilot; antipredatory; fuzzy logic controller; intelligent ship autopilots; particle swarm optimization; ship steering; Adaptive control; Artificial intelligence; Automatic control; Convergence; Fuzzy logic; Genetic algorithms; Marine vehicles; Mathematical model; Particle swarm optimization; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Swarm Intelligence Symposium, 2008. SIS 2008. IEEE

Conference_Location

St. Louis, MO

Print_ISBN

978-1-4244-2704-8

Electronic_ISBN

978-1-4244-2705-5

Type

conf

DOI

10.1109/SIS.2008.4668327

Filename

4668327