[1]唐元元,张均东,鲁道毅,等.柴油机燃烧产物的扰动粒子群求解方法[J].哈尔滨工程大学学报,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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柴油机燃烧产物的扰动粒子群求解方法(/HTML)
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《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
40
期数:
2019年09期
页码:
1636-1641
栏目:
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 张均东1 鲁道毅1 曾鸿1 夏雨2
1. 大连海事大学 轮机工程学院, 辽宁 大连 116026;
2. 中船动力研究院有限公司 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
关键词:
柴油机牛顿迭代法燃烧产物粒子群氮氧化物化学平衡STANJAN算法平衡常数
分类号:
TK421
DOI:
10.11990/jheu.201803015
文献标志码:
A
摘要:
针对内燃机燃烧产物平衡浓度求解的难题,本文使用平衡常数法将燃烧产物平衡浓度的求解转化为求解非线性方程组。对此非线性方程组使用二范数格式转化为无约束条件下的优化问题,以获得更强求解能力和避免矩阵奇异。在基本粒子群算法的基础上,将粒子初值由随机自由分布修改为在给定初值附近分布以加快收敛速度。在全局搜索过程中增加搜索路径扰动以增强全局搜索能力。使用扰动粒子群算法可成功用于内燃机氮氧化物生成预测,收敛精度可达10-10量级,且实现简单、全局收敛能力强。通过对比Newton-Raphson算法、粒子群算法和STANJAN算法发现,扰动粒子群算法的收敛精度更高且具有更好的稳定性。

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备注/Memo

备注/Memo:
收稿日期:2018-03-06。
基金项目:国家自然科学基金项目(51479017);中央高校基本科研业务费专项资金项目(3132016316);辽宁省自然科学基金项目(201602071).
作者简介:唐元元,男,博士研究生;张均东,教授,博士生导师.
通讯作者:张均东,E-mail:zhjundong@126.com.
更新日期/Last Update: 2019-09-06