Title :
GA-optimised PID and pole placement real and simulated performance when controlling the dynamics of a supply ship
Author :
Alfaro-Cid, E. ; McGookin, E.W. ; Murray-Smith, D.J.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Glasgow, UK
fDate :
3/13/2006 12:00:00 AM
Abstract :
Two decoupled PID controllers and a state feedback pole placement control configuration have been designed for the navigation and propulsion systems of CyberShip II, a scale model of an oil platform supply ship. These control structures have parameters that need to be tuned to improve their performance. The values of these parameters have been optimised using genetic algorithms. The performance of these controllers has been analysed through computer-generated simulations based on a non-linear hydrodynamic model of CyberShip II. The robustness has been evaluated through simulation in the presence of environmental disturbances. Subsequently, the optimised controllers have been tested in the real plant and the results are shown.
Keywords :
control system synthesis; genetic algorithms; nonlinear control systems; optimal control; pole assignment; ships; state feedback; three-term control; CyberShip II navigation; decoupled PID controllers; genetic algorithms; nonlinear hydrodynamic model; oil platform supply ship; optimal control; state feedback pole placement control;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:20045128