摘要
以焦炉燃烧加热过程控制为背景,首先根据蓄热室顶部温度的测量,集成线性回归和神经网络等多种方法,建立立火道温度检测的软测量模型,然后利用立火道温度软测量模型的结果,结合实际工况,采用模糊专家控制算法进行焦炉燃烧加热过程的优化控制,实现焦炉燃烧加热过程集成优化控制。
Based on the feature of the coke oven heating process, the linear regressive method and the neural network method are integrated to build the soft- sensing model of the flue temperature, according to the temperature at the top of regenerators, Combined with factual instance, fuzzy expert control rules are used to control the heating process after the flue temperature is acquired through the soft - sensing model, Consequently, the real - time intelligent integrated optimization control to the peocess is rcalized.
出处
《计算技术与自动化》
2006年第1期14-16,43,共4页
Computing Technology and Automation
基金
国家杰出青年科学基金(60425310)
教育部青年教师奖(教人[2002]5号)资助项目
关键词
燃烧控制
焦炉
软测量
神经网络
模糊专家控制
heating control
coke oven
soft-sensing
neural network
fuzzy expert control
