稳定器(航空)
PID控制器
控制理论(社会学)
模糊逻辑
控制工程
控制器(灌溉)
计算机科学
工程类
控制(管理)
航空航天工程
人工智能
温度控制
农学
生物
作者
Muhammad Talha,Furqan Asghar,Sung Ho Kim
出处
期刊:International Journal of Fuzzy Logic and Intelligent System
[Korean Institute of Intelligent Systems]
日期:2017-09-30
卷期号:17 (3): 210-220
被引量:20
标识
DOI:10.5391/ijfis.2017.17.3.210
摘要
The Anti Rolling Gyro (ARG) is a roll reduction device for vessels that utilizes gyro torque stabilization.One of the ARG's main features is to reduce ship rolling motion even at zero speed which is impossible by using fin stabilizer.ARG consists of a dedicated spinning wheel that generates gyroscopic forces to reduce the roll motion of ships.The aim of ARG stabilizer is to minimize the effect of external wave disturbances acting on the ship.Two of the most commonly used ARG types in ships are horizontal spin axis type and vertical spin axis type with distinct mathematical modeling and control.Control system design is a key factor to improve stabilizing system performance.However, performance improvement falls short of expectations due to fundamental performance limitations, large variations caused by wave induced roll motion and some practical design complications.This paper proposed fuzzy tuned PID control strategy for ARG stabilizers and present comparison between commonly used PID control technique, fuzzy control, and proposed fuzzy tuned PID control technique.These methods have been implemented and validated via simulation approach for horizontal spinning axis ARG.Simulation results prove the effectiveness and supremacy of proposed technique over previously used methods.
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