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要求,控制效果好.
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.
出处
《成都大学学报（自然科学版）》
2011年第4期356-360,共5页
Journal of Chengdu University（Natural Science Edition）
关键词
垃圾焚烧炉
模糊控制
BP神经网络
garbage incinerator
fuzzy control
BP neural network
DIFNN
