| 基于RBF预测的模糊神经变风量空调控制 |
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| 引用本文： | 张凤,郑拓,孙哲.基于RBF预测的模糊神经变风量空调控制[J].沈阳建筑工程学院学报(自然科学版),2009,25(3):609-612. |
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| 作者姓名： | 张凤 郑拓 孙哲 |
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| 作者单位： | 沈阳建筑大学信息与控制工程学院,辽宁,沈阳,110168
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| 摘 要： | 目的为提高变风量空调系统的动态控制性能,提出基于预测的模糊神经网络控制方法.方法通过模糊神经控制器对输入输出量进行控制,预测器进行控制参数预测,比较实际控制量与预测量来进行实时控制和调整参数,从而达到预期的控制效果.结果仿真试验表明,该方法控制动态响应快,超调小、控制精度高,具有良好的动态性能和稳态性能.结论所提出的控制方法能有效地提高了变风量空调系统的动态性能,并由仿真结果验证了其有效性.
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| 关 键 词： | 预测控制 模糊神经网络控制 控制器 预测器 变风量空调 |
The Method Based on RBF Predictive Fuzzy-Neural Control for VAV Air-Conditioning System |
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| ZHANG Feng,ZHENG Tuo,SUN Zhe.The Method Based on RBF Predictive Fuzzy-Neural Control for VAV Air-Conditioning System[J].Journal of Shenyang Archit Civil Eng Univ: Nat Sci,2009,25(3):609-612. |
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| Authors: | ZHANG Feng ZHENG Tuo SUN Zhe |
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| Affiliation: | (School of Information and Control Engineering, Shenyang Jianzhu University, Shenyang China, 110168 ) |
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| Abstract: | This paper proposed a new method based on predictive fuzzy-neural network for VAV air-conditioning system for enhancing the system＇ s dynamic control performance. The fuzzy-neural controller controled the system＇ s input and output volumes, and the predictor forecasted control parameters. Comparing the actual control volume with predictive one, the parameters were regulated real-time to reach better control effect. The simulation results show that this method has a good dynamic performance and steady performance with fast dynamic response, small overshoot, high-precision control. As a result this method can enhance the VAV air conditioning system＇ s dynamic performance, and its validity has been verified by the simulations. |
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| Keywords: | predictive control fuzzy-neural network control controller predictor variable air volume airconditioning |
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