基于航迹预测的着舰指挥决策算法

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英文篇名：Carrier landing command decision-making algorithm based on trajectory prediction 作者：张雯 ; 张强 英文作者：ZHANG Wen;ZHANG Qiang;College of Automation,Harbin Engineering University;Science and Technology on Underwater Vehicle Laboratory,Harbin Engineering University; 关键词：指挥决策 ; 着舰 ; 航迹预测 ; 预测精度 ; 决策准确度 ; 属性相关 ; 最优线性网络集成 英文关键词：command decision-making;;carrier landing;;trajectory prediction;;prediction accuracy;;decision-making accuracy;;attribute correlation;;optimal linear neural network ensemble 中文刊名：HEBG 英文刊名：Journal of Harbin Engineering University 机构：哈尔滨工程大学自动化学院;哈尔滨工程大学水下机器人技术重点实验室; 出版日期：2018-07-10 18:46 出版单位：哈尔滨工程大学学报 年：2019 期：v.40;No.267 基金：国家自然科学基金项目(61603110);; 中央高校基本科研业务专项资金项目(HEUCFM170401) 语种：中文; 页：HEBG201901026 页数：8 CN：01 ISSN：23-1390/U 分类号：185-192

摘要

为提高着舰指挥决策的准确度,本文以预测的着舰航迹为决指挥策依据,提出了基于航迹预测的着舰指挥决策算法。该算法分为航迹预测和指挥决策两个模型,两个模型以历史着舰数据为训练样本,分别基于径向基函数RBF网络和属性相关贝叶斯算法建立,并针对着舰航迹的阶段特性,提出了基于RBF网络集成的着舰航迹预测模型。与常规算法的对比仿真实验表明:基于RBF网络集成的着舰航迹预测模型具有更高的预测精度,基于航迹预测的着舰指挥决策算法的决策结论与着舰指挥官的决策结论基本一致,能够有效提高着舰成功率。
        To improve the accuracy of the carrier landing command decision-making,we propose a related algorithm based on trajectory prediction algorithm( TPCLCD),which takes the predicted landing trajectory as the basis of command decision-making. TPCLCD includes the trajectory prediction model and the command decision-making model,which are derived based on radial basis function( RBF) network and attribute-related Bayesian algorithm,respectively. Aiming at the stage characteristics of carrier landing trajectory,we establish the trajectory prediction model based on RBF network ensemble to improve the accuracy of the model. Compared with the conventional algorithm,the simulation results show that the carrier landing trajectory prediction model based on the RBF network ensemble has higher prediction accuracy. The decision result of TPCLCD is basically consistent with the landing signal commander. Hence,the proposed model can effectively improve the success rate of carrier landing.

引文

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