摘要
应用基于量化因子和决策因子自修正的模糊PID控制算法来改进升力控制减摇鳍系统,并利用子模糊系统自动调整量化因子和决策因子,从而改善基本模糊控制器的稳态和动态性能.模糊控制算法与传统PID控制的有机结合,使升力鳍系统控制精度、鲁棒性以及自适应性得到显著改善.基于该算法的某型船舶仿真结果表明,该复合控制算法使升力鳍系统能够在各种海况下均具有良好的减摇效果.
Fuzzy PID controller based on quantizing factors and decision-making factor self-correcting online is proposed to improve the control effect of lift fin stabilizers. A fuzzy subsystem model is introduecd to regulate the quantizing and decision-making factors. The dynamic characteristic and the steady-state behavior of fuzzy controller are improved. Combined fuzzy algorithm with PID strategy, the high accuracy and better adaptability are obtained. The numerical simulation of a ship with fuzzy-PID model shows the smooth and favorability of anti-rolling performance in all kinds of sea conditions.
出处
《控制与决策》
EI
CSCD
北大核心
2008年第10期1139-1144,共6页
Control and Decision
基金
黑龙江省博士后资金项目(LBH-Z05052)
国家"十五"211工程"船舶控制工程"重点项目
关键词
升力控制
减摇鳍
模糊PID控制
量化因子
决策因子
Lift control
Fin stabilizers
Fuzzy PID control
Quantizing factor
Decision-making factor
