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粒子群混合算法在操纵运动模型辨识中的应用
引用本文:林兆伟,周友明,董根金,涂卫民. 粒子群混合算法在操纵运动模型辨识中的应用[J]. 中国造船, 2011, 0(4)
作者姓名:林兆伟  周友明  董根金  涂卫民
作者单位:武汉第二船舶设计研究所;
摘    要:基于经典的POWELL寻优算法和粒子群混合算法,针对航行体的操纵运动数学模型开展智能辨识研究。该方法能够很好地调整算法的全局与局部搜索能力之间的平衡,有效地提高辨识的精度和速度。采用该方法,利用航行体操纵性试验结果,对航行体操纵运动方程系数进行了辨识研究,并用辨识的数学模型进行了水面Z形操纵仿真。仿真结果表明,该方法具有很好的全局收敛性和稳定性。

关 键 词:船舶、舰船工程  粒子群混合算法  “Z”形试验  全局优化  参数辨识  

Research on Application of PSO Hybrid Algorithm in Identifying Mathematical Model of Vehicle Maneuvering
LIN Zhaowei,ZHOU Youming,DONG Genjin,TU Weimin. Research on Application of PSO Hybrid Algorithm in Identifying Mathematical Model of Vehicle Maneuvering[J]. Shipbuilding of China, 2011, 0(4)
Authors:LIN Zhaowei  ZHOU Youming  DONG Genjin  TU Weimin
Affiliation:LIN Zhaowei,ZHOU Youming,DONG Genjin,TU Weimin(Wuhan Second Ship Design and Research Institute,Wuhan 430064,China)
Abstract:This paper proposes an identification method for vehicle's maneuvering equation based on the Powell search method and the particle swarm optimization(PSO) hybrid algorithm.The method can not only adjust the balance between global and local exploration suitably,but also raise the accuracy and speed effectively.According to turning model test data,a set of vehicle's maneuvering equation coefficient is identified by the method,and applying the identification model in the simulation of zig zag test on water.The...
Keywords:ship engineering  Powell-PSO hybrid algorithm  zig zag test  global optimization  parameter identification.  
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