Title :
Design of intelligent ship autopilots using particle swarm optimization
Author :
Samanta, B. ; Nataraj, C.
Author_Institution :
Dept. of Mech. Eng., Villanova Univ., Villanova, PA
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;
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
DOI :
10.1109/SIS.2008.4668327
