[1]鮑丹,趙搶搶,侯保林.某火炮反后坐裝置區間不確定參數辨識[J].哈爾濱工程大學學報,2021,42(5):687-693.[doi:10.11990/jheu.201908007]
 BAO Dan,ZHAO Qiangqiang,HOU Baolin.Identification of uncertain interval parameters of cannon recoil mechanism[J].Journal of Harbin Engineering University,2021,42(5):687-693.[doi:10.11990/jheu.201908007]
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《哈爾濱工程大學學報》[ISSN:1006-6977/CN:61-1281/TN]

卷:
42
期數:
2021年5期
頁碼:
687-693
欄目:
出版日期:
2021-05-05

文章信息/Info

Title:
Identification of uncertain interval parameters of cannon recoil mechanism
作者:
鮑丹1 趙搶搶2 侯保林1
1. 南京理工大學 機械工程學院, 江蘇 南京 210094;
2. 江蘇金陵智造研究院有限公司, 江蘇 南京 210006
Author(s):
BAO Dan1 ZHAO Qiangqiang2 HOU Baolin1
1. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;
2. Jiangsu Jinling institute of intelligent manufacturing Co. Ltd, Nanjing 210006, China
關鍵詞:
反后坐裝置參數辨識區間可能度曲線相似度粒子群算法不確定性優化神經網絡區間優化
分類號:
TJ33
DOI:
10.11990/jheu.201908007
文獻標志碼:
A
摘要:
為了實現辨識并提高辨識效率,在火炮反后坐過程數學模型的基礎上建立神經網絡模型。根據不確定參數在一次發射動作過程中的變化特性,將火炮反后坐裝置待辨識的參數分為2類,并利用區間數描述系統中的不確定參數。針對第1類參數,通過區間理論中的區間可能度數學模型將區間不確定問題轉換為確定性優化問題,以反映數值仿真結果與試驗結果的相似程度的時間序列數據相似度作為優化目標,再運用粒子群算法實現辨識。在已辨識第1類參數的基礎上,結合粒子群算法和區間優化方法對第2類參數的區間進行優化。結果表明:本文提出的辨識方法具有可行性和有效性。

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備注/Memo

備注/Memo:
收稿日期:2019-08-13。
基金項目:總裝973(6132490102).
作者簡介:鮑丹,女,博士研究生;侯保林,男,教授,博士生導師.
通訊作者:侯保林,E-mail:houbl@njust.edu.cn.
更新日期/Last Update: 2021-04-26
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