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[1]唐元元,張均東,魯道毅,等.柴油機燃燒產物的擾動粒子群求解方法[J].哈爾濱工程大學學報,2019,40(09):1636-1641.[doi:10.11990/jheu.201803015]
 TANG Yuanyuan,ZHANG Jundong,LU Daoyi,et al.Perturbed particle swarm optimization for determining diesel engine combustion products[J].hebgcdxxb,2019,40(09):1636-1641.[doi:10.11990/jheu.201803015]
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柴油機燃燒產物的擾動粒子群求解方法(/HTML)
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《哈爾濱工程大學學報》[ISSN:1006-6977/CN:61-1281/TN]

卷:
40
期數:
2019年09期
頁碼:
1636-1641
欄目:
出版日期:
2019-09-05

文章信息/Info

Title:
Perturbed particle swarm optimization for determining diesel engine combustion products
作者:
唐元元1 張均東1 魯道毅1 曾鴻1 夏雨2
1. 大連海事大學 輪機工程學院, 遼寧 大連 116026;
2. 中船動力研究院有限公司 上海 200120
Author(s):
TANG Yuanyuan1 ZHANG Jundong1 LU Daoyi1 ZENG Hong1 XIA Yu2
1. College of Marine Engineering, Dalian Maritime University, Dalian 116026, China;
2. China Shipbuilding Power Engineering Institute Co., Ltd., Shanghai 200120, China
關鍵詞:
柴油機牛頓迭代法燃燒產物粒子群氮氧化物化學平衡STANJAN算法平衡常數
分類號:
TK421
DOI:
10.11990/jheu.201803015
文獻標志碼:
A
摘要:
針對內燃機燃燒產物平衡濃度求解的難題,本文使用平衡常數法將燃燒產物平衡濃度的求解轉化為求解非線性方程組。對此非線性方程組使用二范數格式轉化為無約束條件下的優化問題,以獲得更強求解能力和避免矩陣奇異。在基本粒子群算法的基礎上,將粒子初值由隨機自由分布修改為在給定初值附近分布以加快收斂速度。在全局搜索過程中增加搜索路徑擾動以增強全局搜索能力。使用擾動粒子群算法可成功用于內燃機氮氧化物生成預測,收斂精度可達10-10量級,且實現簡單、全局收斂能力強。通過對比Newton-Raphson算法、粒子群算法和STANJAN算法發現,擾動粒子群算法的收斂精度更高且具有更好的穩定性。

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備注/Memo

備注/Memo:
收稿日期:2018-03-06。
基金項目:國家自然科學基金項目(51479017);中央高;究蒲袠I務費專項資金項目(3132016316);遼寧省自然科學基金項目(201602071).
作者簡介:唐元元,男,博士研究生;張均東,教授,博士生導師.
通訊作者:張均東,E-mail:zhjundong@126.com.
更新日期/Last Update: 2019-09-06
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