摘要
本文提出用智能优化算法模型来指导工业锅炉燃烧过程控制。首先通过免疫遗传算法来优化锅炉燃烧过程控制参数,利用优化结果调节锅炉燃烧过程控制。而后利用BP神经网络来模拟工业锅炉燃烧过程,建立工业锅炉燃烧过程输入输出之间的非线性模型。结果表明,本文所提出的智能优化算法模型具有较好的效果。
An intelligent optimization algorithm was proposed in this paper to direct the control of boiler combustion process. Firstly, it used the immune genetic algorithm to optimize the operating parameter and take the optimization results the control of boiler combustion process. Then it used BP neural network to simulate the process of boiler combustion and constructed the non-linear model between the input and output of the boiler eorabustion. The results of the experiment have shown that the optimization model has fascinating ability in boiler combustion optimization.
出处
《微计算机信息》
北大核心
2007年第02S期298-299,277,共3页
Control & Automation
基金
高等学校博士学科点专项科研基金(No.20020008004)
关键词
免疫遗传算法
燃烧优化
神经网络
artificial immune,genetic algorithm,affinity,optimizafion
