成都大学学报:自然科学版
成都大學學報:自然科學版
성도대학학보:자연과학판
Journal of Chengdu University (Natural Science)
2011年
4期
356-360
,共5页
垃圾焚烧炉%模糊控制%BP神经网络
垃圾焚燒爐%模糊控製%BP神經網絡
랄급분소로%모호공제%BP신경망락
garbage incinerator%fuzzy control%BP neural network%DIFNN
根据固体垃圾焚烧技术原理,结合垃圾焚烧炉运行特点,分析了垃圾焚烧过程与影响焚烧的主要因素,提出了基本模糊BP神经网络算法的垃圾焚烧炉控制方法.建立了垃圾焚烧炉炉温双端输入模糊神经网络(DIFNN)控制模型,并使用模糊BP神经网络控制算法对系统进行控制.仿真实验表明,该模糊BP神经网络控制能够适应复杂多变的焚烧过程的控制要求,控制效果好.
根據固體垃圾焚燒技術原理,結閤垃圾焚燒爐運行特點,分析瞭垃圾焚燒過程與影響焚燒的主要因素,提齣瞭基本模糊BP神經網絡算法的垃圾焚燒爐控製方法.建立瞭垃圾焚燒爐爐溫雙耑輸入模糊神經網絡(DIFNN)控製模型,併使用模糊BP神經網絡控製算法對繫統進行控製.倣真實驗錶明,該模糊BP神經網絡控製能夠適應複雜多變的焚燒過程的控製要求,控製效果好.
근거고체랄급분소기술원리,결합랄급분소로운행특점,분석료랄급분소과정여영향분소적주요인소,제출료기본모호BP신경망락산법적랄급분소로공제방법.건립료랄급분소로로온쌍단수입모호신경망락(DIFNN)공제모형,병사용모호BP신경망락공제산법대계통진행공제.방진실험표명,해모호BP신경망락공제능구괄응복잡다변적분소과정적공제요구,공제효과호.
Based on solid garbage incineration technique principle,combing the operation features of garbage incinerator,the process of garbage incineration and its main impact factors were analyzed and a fuzzy BP neural network algorithm control of garbage incinerators was proposed.A waste incineration furnace temperature DIFNN control model was established,and a fuzzy BP neural network control algorithm was used to control the system.The simulated experiment shows that this fuzzy BP neural network control can meet the complex requirements of the incineration process control and the control effect is good with high practical value.