| 基于模糊神经网络的生物质气化炉的智能控制 |
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| 引用本文： | 王春华,仲兆平,鄂加强.基于模糊神经网络的生物质气化炉的智能控制[J].动力工程,2009,29(9). |
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| 作者姓名： | 王春华 仲兆平 鄂加强 |
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| 作者单位： | 1. 东南大学能源与环境学院,南京,211189
2. 湖南大学机械与运载工程学院,长沙,410082 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)资助项目(2007CB210208);;国家自然科学基金资助项目(50776019) |
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| 摘 要： | 利用神经网络理论与模糊理论融合而成的模糊神经网络,对具有非线性、非最小相位特征、大时滞以及负荷干扰特点的生物质气化炉气化过程进行了研究,设计了生物质气化炉炉温及一次进风量的智能控制系统.控制对象分别为气化炉气温及烟气含氧量,调节对象分别为生物质给料量与一次进风量,所建立的模糊神经网络具有五层拓扑结构,输入为给定值与实测值的误差及误差变化率,输出为PID参数变化量.仿真实验表明:该控制系统与传统的模糊控制系统相比具有更好的控制效果.
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| 关 键 词： | 生物质 气化炉 神经网络 模糊理论 PID控制 |
The Intelligent Control of Biomass Gasifier Based on Fuzzy Neural Network |
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| WANG Chun-hua
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ZHONG Zhao-ping
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E Jia-qiang.The Intelligent Control of Biomass Gasifier Based on Fuzzy Neural Network[J].Power Engineering,2009,29(9). |
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| Authors: | WANG Chun-hua ZHONG Zhao-ping E Jia-qiang |
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| Affiliation: | 1.School of Energy and Environment;Southeast University;Nanjing 211189;China;2.School of Mechanical and Automotive Engineering;Hunan University;Changsha 410082;China |
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| Abstract: | Applying fuzzy neural network,fusing neural network and fuzzy theory, gasified process of biomass gasifier which has nonlinear,non-minimum-phase,big delay and strong load interference characteristics was researched,and intelligent control of temperature and primary air flow for biomass gasifier were designed.The control objects were gasifier temperature and flue gas oxygen content,the regulation objects were the material feed flow and primary air flow.The topology of the newly-built fuzzy neural network had... |
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| Keywords: | biomass gasifier neural network fuzzy theory PID control |
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