Design of Intelligent Ship Autopilots using Particle Swarm Optimization

B. Samanta, C. Nataraj

Research output: Contribution to book or proceedingConference articlepeer-review

9 Scopus citations

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.

Original languageEnglish
Title of host publication2008 IEEE Swarm Intelligence Symposium, SIS 2008
DOIs
StatePublished - 2008
Event2008 IEEE Swarm Intelligence Symposium, SIS 2008 - St. Louis, MO, United States
Duration: Sep 21 2008Sep 23 2008

Publication series

Name2008 IEEE Swarm Intelligence Symposium, SIS 2008

Conference

Conference2008 IEEE Swarm Intelligence Symposium, SIS 2008
Country/TerritoryUnited States
CitySt. Louis, MO
Period09/21/0809/23/08

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