Title :
Swarm intelligence applied to identification of nonlinear ship steering model
Author :
Tomera, Miroslaw
Author_Institution :
Dept. of Ship Autom., Gdynia Maritime Univ., Gdynia, Poland
Abstract :
The paper presents optimization of parameters of nonlinear dynamic ship steering model with one degree of freedom, in which the input is the commanded rudder angle and the output is the ship course. Optimization of parameters concerned the Bech and Wagner-Smith model for which the nonlinearity was determined from a standard Bech´s reverse spiral test, whilst the parameters describing dynamic properties of the ship were determined based on the Kempf´s zigzag maneuver. Optimal parameters of the searched ship model were found using swarm intelligence algorithms, including: ant colony optimization, artificial bee colony, and particle swarm optimization. Rate tests were conducted to find the optimal solution, and a comparative analysis of the results was made.
Keywords :
ant colony optimisation; identification; particle swarm optimisation; ships; steering systems; swarm intelligence; Bech model; Bech reverse spiral test; Kempf zigzag maneuver; Wagner-Smith model; ant colony optimization; artificial bee colony; nonlinear dynamic ship steering model; nonlinear ship steering model identification; parameter optimization; particle swarm optimization; swarm intelligence algorithms; Flowcharts; Marine vehicles; Mathematical model; Optimization; Particle swarm optimization; Spirals; Standards; ant colony algorithm; artificial bee colony algorithm; modelling; nonlinear systems; particle swarm optimization; ship´s dynamics; swarm intelligence;
Conference_Titel :
Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on
Conference_Location :
Gdynia
Print_ISBN :
978-1-4799-8320-9
DOI :
10.1109/CYBConf.2015.7175920
