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脉冲负载下柴油发电机组建模优化与评价

师萌 杨艺斌 杨定富 黄克峰 何凯 吴振

强激光与粒子束2024,Vol.36Issue(5):156-162,7.
强激光与粒子束2024,Vol.36Issue(5):156-162,7.DOI:10.11884/HPLPB202436.230342

脉冲负载下柴油发电机组建模优化与评价

Optimization and evaluation of simulation model for diesel generator set with pulse load

师萌 1杨艺斌 2杨定富 1黄克峰 3何凯 1吴振1

作者信息

  • 1. 32214 部队,南京 211113
  • 2. 96784 部队,河南洛阳 471300
  • 3. 陆军工程大学国防工程学院,南京 210007
  • 折叠

摘要

Abstract

Aiming at the output characteristics of diesel generator set with pulse load,an index is proposed to evaluate the consistency of output voltage(current)waveform to judge the simulation degree of the model.Also,a dynamic limiting method for synchronous generator excitation voltage output based on BP neural network algorithm is proposed,and it is applied to the model optimization of diesel generator set.Experimental results show that among the 27 sets of examples,18 groups'real-time waveform proximity(RWP)values are less than 90%in the original simulation but in the optimized simulation,the RWP values of all the test groups are higher than 90%,indicating that the optimized simulation model is more effective,and can be applied to further research on diesel generator set with pulse load.

关键词

模型优化/脉冲负载/反向传播神经网络算法/波形实时契合度/动态限幅方法

Key words

model optimization/pulse load/back propagation neural network algorithm/real-time waveform proximity/dynamic limiting method

分类

信息技术与安全科学

引用本文复制引用

师萌,杨艺斌,杨定富,黄克峰,何凯,吴振..脉冲负载下柴油发电机组建模优化与评价[J].强激光与粒子束,2024,36(5):156-162,7.

强激光与粒子束

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