Title :
Research on Ship Intelligent Autonomous Integrated Control System
Author :
GUO, Chen ; Shen, Zhipeng
Author_Institution :
Coll. of Autom. & Electr. Eng., Dalian Maritime Univ.
Abstract :
An intelligent autonomous control algorithm for ship autopilot and main propulsion engine is proposed. A general fuzzy CMAC controller with eligibility (FCE), which possesses good real-time learning characteristics, is discussed and applied to ship intelligent control. The eligibility can forecast the control effect, and improve the system stability. The structure of FCE system is presented, and its learning algorithm is deduced. To make the algorithm fit to on-line control, the efficient implementation of FCE method is also given. Applying the FCE controller in a ship steering control system, the simulation results show that the ship course can be properly controlled when changeable wind and wave exist. Ship intelligent autonomous control system is great significant to improve ship performance of control and economics, and also helpful to extend the using life of main marine power plant
Keywords :
cerebellar model arithmetic computers; fuzzy control; intelligent control; learning (artificial intelligence); motion control; neurocontrollers; ships; stability; steering systems; fuzzy CMAC controller; main propulsion engine; online control; real-time learning; ship autopilot; ship intelligent autonomous integrated control system; ship motion; ship steering control system; system stability; Centralized control; Control system synthesis; Control systems; Engines; Fuzzy control; Intelligent control; Intelligent systems; Marine vehicles; Propulsion; Stability; Autonomous integrated control; Eligibility; FCE controller; Main engine plane; Ship motion;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713688
