| 基于神经网络的水轮机调节模型辨识 |
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| 引用本文： | 万双民.基于神经网络的水轮机调节模型辨识[J].水利科技与经济,2014(12):39-41. |
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| 作者姓名： | 万双民 |
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| 作者单位： | 中国南方电网调峰调频发电公司天生桥水力发电总厂,贵州兴义,562400 |
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| 摘 要： | 针对复杂的水轮机调节系统辨识问题,首先分析水轮机调速器特性,建立通用水轮机调速器模型,并采用PRBS信号仿真其动态特性,进而基于神经网络理论,开展水轮机调速系统辨识分析。研究表明,辨识得到的参数与待辨识参数的误差较小,网络输出与实际系统输出的差值也较小,因此用BP神经网络进行水轮机调节模型辨识是可行的。
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| 关 键 词： | 神经网络 水轮机调节 模型辨识 仿真分析 |
The Identification on Turbine Regulating System Based on Neural Network |
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| WAN Shuang-min.The Identification on Turbine Regulating System Based on Neural Network[J].Water Conservancy Science and Technology and Economy,2014(12):39-41. |
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| Authors: | WAN Shuang-min |
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| Affiliation: | WAN Shuang-min (Tianshengqiao Hydropower Plant of China Southern Power Grid Frequency and Amplitude Modula- tion Power Company, Xingyi 562400, Guizhou, China) |
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| Abstract: | Pointed to identification problems of turbine regulating system , the regulating system char-acteristics was analyzed to establish the mathematic model , and using the PRBS signals to simulated the regulating process , and then the identification analysis is carred out based on neural network.The research shows that the error between identified parameters and actual parameters is small , and the error between simulated output and actual output is small , too.So the turbine regulating system iden-tification based on neural network is feasible. |
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| Keywords: | neural network turbine regulating system model identification simulated analysis |
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