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基于模糊BP神经网络的垃圾焚烧炉控制系统
引用本文:杨涛,刘勇,喻晓红.基于模糊BP神经网络的垃圾焚烧炉控制系统[J].成都大学学报(自然科学版),2011,30(4):356-360.
作者姓名:杨涛  刘勇  喻晓红
作者单位:1. 成都大学实验技术中心,四川成都,610106
2. 成都天奥测控技术有限公司,四川成都,611731
3. 成都大学电子信息工程学院,四川成都,610106
摘    要: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...

关 键 词:垃圾焚烧炉  模糊控制  BP神经网络

Control System of Garbage Incinerator Based on Fuzzy BP Neural Network
YANG Tao,LIU Yong,YU Xiaohong.Control System of Garbage Incinerator Based on Fuzzy BP Neural Network[J].Journal of Chengdu University (Natural Science),2011,30(4):356-360.
Authors:YANG Tao  LIU Yong  YU Xiaohong
Institution:1.Center of Experimental Technology,Chengdu University,Chengdu 610106,China;2.Chengdu Tianao Measuring and Control Ltd.Co.,Chengdu 611731,China;3.School of Electronic and Information Engineering,Chengdu University,Chengdu 610106,China)
Abstract: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.
Keywords:garbage incinerator  fuzzy control  BP neural network  DIFNN
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