| 联合循环余热锅炉汽包水位晃荡信号智能预测 |
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| 引用本文： | 谭季秋,鄂加强,钟定清. 联合循环余热锅炉汽包水位晃荡信号智能预测[J]. 中南大学学报(自然科学版), 2012, 43(3): 966-971 |
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| 作者姓名： | 谭季秋 鄂加强 钟定清 |
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| 作者单位： | 1. 湖南工程学院机械工程学院,湖南湘潭,411101
2. 湖南大学机械与运载工程学院,湖南长沙,410082 |
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| 基金项目： | 湖南省自然科学基金资助项目(11JJ9011) |
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| 摘 要： | 为揭示联合循环余热锅炉汽包水位晃荡机理,应用混沌分形理论,选择合适的滞时τ,对联合循环余热锅炉汽包水位晃荡信号时间序列进行相空间重构,得出联合循环余热锅炉汽包水位晃荡信号具有混沌特性,同时建立输入层节点数为3、隐含层节点数为5、输出层节点数为1的神经网络预测模型对联合循环余热锅炉汽包水位晃荡时间序列进行预测.研究结果表明:混沌优化算法对联合循环余热锅炉汽包实验水位晃荡信号预报精度高,经过1 000次粗搜索迭代和761次细搜索迭代,可将误差降低至10-1.7.
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| 关 键 词： | 余热锅炉 汽包 水位晃荡信号 智能预测 |
Intelligent prediction of water level sloshing information of drum in combined cycle waste heat boiler |
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| TAN Ji-qiu , E Jia-qiang , ZHONG Ding-qing. Intelligent prediction of water level sloshing information of drum in combined cycle waste heat boiler[J]. Journal of Central South University:Science and Technology, 2012, 43(3): 966-971 |
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| Authors: | TAN Ji-qiu E Jia-qiang ZHONG Ding-qing |
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| Affiliation: | 1(1.College of Mechanical Engineering,Hunan Institute of Engineering,Xiangtan 411101,China;2.College of Mechanical and Automotive Engineering,Hunan University,Changsha 410082,China) |
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| Abstract: | In order to revel the mechanism of water level sloshing of the drum in the combined cycle waste heat boiler,using chaos theory in the water level and selecting a suitable value of time lag τ,the time-series embedding space about water level sloshing information were rebuilt.In the meantime,when the neural network model including input layer is 3,the hidden layer node is 5 and the output layer node is 1,the sloshing water level time series were predicted.The results show that prediction precision is very high when chaos optimization algorithm is applied in optimization of the parameters of BP neural network,and its prediction errors can be decreased to 10-1.7 after 1 000 coarse search iterations and 761 fine search iterations. |
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| Keywords: | waste heat boiler drum water level sloshing information intelligent prediction |
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