| 基于模糊神经网络的自适应精确曝气系统设计 |
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| 引用本文： | 孙骞,许睿,龚琼.基于模糊神经网络的自适应精确曝气系统设计[J].桂林电子科技大学学报,2011(5):382-385. |
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| 作者姓名： | 孙骞 许睿 龚琼 |
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| 作者单位： | 桂林市环境保护局;桂林电子科技大学生命与环境科学学院; |
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| 基金项目： | 国家科技支撑计划(2011BAK12B04); 环保部公益性专项(200909060); 中国博士后基金(20110491727); 广西科学研究和技术开发计划(GKG1140002-2-4) |
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| 摘 要： | 基于模糊神经网络理论,将自回归各态历经(ARX)模型与模糊神经网络模型(FNNM)相结合,设计一套具有自适应能力的前馈-反馈精确曝气控制系统,解决目前污水处理曝气过程中冗余曝气能源浪费、溶解氧波动大的问题.以污水厂处理PID控制生物池数据作为训练样本,以模糊神经网络自适应精确曝气模型仿真与传统PID控制比较,发现该系统...
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| 关 键 词： | 模糊神经网络模型 曝气 时滞 |
Adaptive aeration control scheme design based on fuzzy neural network |
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| Sun Qian,Xu Rui,Gong Qiong.Adaptive aeration control scheme design based on fuzzy neural network[J].Journal of Guilin Institute of Electronic Technology,2011(5):382-385. |
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| Authors: | Sun Qian Xu Rui Gong Qiong |
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| Affiliation: | Sun Qian1,2,Xu Rui2,Gong Qiong2(1.Environmental Protection Bureau of Guilin,Guilin 541002,China,2.School of Life and Environmental Sciences,Guilin University of Electronic Technology,Guilin 541004,China) |
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| Abstract: | Based on fuzzy neural network theory,auto regressive ergodic(ARX) model and fuzzy neural network model(FNNM) were combined to design an adaptive feed forward-feedback precise aeration control system for reducing redundant energy waste caused by aeration and dissolved oxygen fluctuations in the current wastewater treatment aeration process.Wastewater treatment plant biological pool data as training samples,the adaptive fuzzy neural network model accurately aeration was compared with the traditional PID contr... |
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| Keywords: | FNNM aeration delay |
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