摘要
舰舵参数是表征舰船航向变化规律的关键参数。本文提出一种基于遗传算法和模型参考自适应算法的混合算法对舰舵参数进行辨识。经实验验证,该算法具有辨识精度高、对采样时间要求不高等优点,基本上满足舰舵参数辨识的需要。
Ship-rudder parameters characterize the variation caused by ships heading the key parameters.This paper presents hybrid algorithm based on genetic algorithm and model reference adaptive algorithm for parameter identification of ship-rudder.The experiments prove that this algorithm has high recognition accuracy,less demanding on the advantages of sampling time,basically to meet the needs of ship-rudder parameter identification.
出处
《计算机与现代化》
2011年第2期46-48,共3页
Computer and Modernization
关键词
舰舵参数
遗传算法
模型参考自适应法
ship rudder parameter
genetic algorithm
model reference adaptive algorithm
