| 船舶柴油发电机转速神经网络容错控制 |
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| 引用本文： | 施振华.船舶柴油发电机转速神经网络容错控制[J].船电技术,2009,29(6):41-45. |
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| 作者姓名： | 施振华 |
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| 作者单位： | 上海海事大学物流工程学院,上海,200135 |
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| 摘 要： | 结合人工神经网络与智能容错控制，形成船舶柴油发电机转速神经网络容错控制。对由故障诊断后获取的特征值进行归一化处理，把经过处理的特征值作为神经网络的输入样本集，设计输出样本集，建立BP神经网络和ELMAN神经网络，用整理后的数据训练神经网络，使神经网络具有容错控制功能，并对神经网络模型进行仿真测试。仿真试验显示可以实现对船舶电力系统容错控制，保证船舶的安全运行。
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| 关 键 词： | 船舶电站 发电机 转速控制 神经网络 容错控制 |
Rotation fault Tolerant Control of Ship's Diesel Engine Generator Based on Artificial Neural Network |
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| Shi Zhenhua.Rotation fault Tolerant Control of Ship's Diesel Engine Generator Based on Artificial Neural Network[J].Marine Electric & Electronic Technology,2009,29(6):41-45. |
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| Authors: | Shi Zhenhua |
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| Institution: | Shi Zhenhua(Logistics Engineering College,Shanghai Maritime University,Shanghai 200135,China) |
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| Abstract: | Combined with the artificial neural network with intelligent fault tolerant control,rotation speed control of marine diesel engine generator is formed.Normalizing the characteristic value after fault diagnosis,it is as input sample sets of the nerve networks,the output sample sets are designed,the BP nerve networks and ELMAN nerve networks are built.Training the nerve with the data,it makes the nerve to have fault tolerant control function.Simulation is made,the results show that fault-tolerant control can ... |
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| Keywords: | ship＇s power station generator rotation control artificial nerve network fault tolerant control |
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