| 基于修正的离心压缩机性能的模糊建模方法 |
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| 引用本文： | 厉勇,王丽荣,李斌.基于修正的离心压缩机性能的模糊建模方法[J].化工自动化及仪表,2010,37(6):32-34,38. |
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| 作者姓名： | 厉勇 王丽荣 李斌 |
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| 作者单位： | 1. 中国石化洛阳分公司,河南,洛阳,471012
2. 昆明理工大学化学工程学院,昆明,650224 |
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| 摘 要： | 提出利用压缩机运行数据样本建立压缩机性能的模糊控制模型的方法,并将神经网络引入到压缩机性能模型当中,修正模糊控制模型的输出,提高模型精度。仿真结果表明,该方法有效且建模精度优于Elman网络和单纯的模糊控制,模型的输出精度较高,实现了压缩机高精度模型的建立。
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| 关 键 词： | 离心压缩机 性能模型 模糊控制 模糊神经网络 |
Modeling Method for Performance of Refrigeration Compressor Based on Fuzzy-Neural Network Corrected Fuzzy Control |
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| LI Yong,WANG Li-rong,LI Bin.Modeling Method for Performance of Refrigeration Compressor Based on Fuzzy-Neural Network Corrected Fuzzy Control[J].Control and Instruments In Chemical Industry,2010,37(6):32-34,38. |
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| Authors: | LI Yong WANG Li-rong LI Bin |
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| Affiliation: | 1.SINOPEC Luoyang Company,Luoyang 471012,China;2.School of Chemical Engineering,Kunming University of Science and Technology,Kunming 650224,China) |
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| Abstract: | A method to build fuzzy control model of refrigeration compressor performance by using compressor running data sample was proposed.Fuzzy-neural network was introduced into the compressor performance model to modify the output and improve the accuracy of the model.Simulation results show that the method is effective and the modeling accurate is better than the Elman network and simple fuzzy control.The accuracy of the model output is high and realizing high precision modeling for compressor. |
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| Keywords: | refrigeration compressor performance model fuzzy control fuzzy-neural network |
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