在线调节风煤比的智能燃烧优化控制系统设计

Design of Intelligent Control System to Optimize Combustion of Coal-fired Boiler through On-line Regulation Air/Fuel Ratio

本文提出了一种具有自学习功能、能自动在线调整风煤比的燃烧智能控制系统的设计方法，它由基于知识的开关控制、送风摄动信号模糊自寻优控制和自学习风／煤比的神经模糊控制器组成．在锅炉正常运行以及负荷、煤种等因素发生变化的情况下．都能有效地自动调整风煤比使炉膛内燃烧处于最佳状态．并在不断的调整过程中记忆适应于该炉各运行工况的最佳风／煤比，以此作为学习样本来训练神经网络，从而获得稳定的燃烧优化控制，同时，由于辅助副调节变量──炉膛总辐射能的引入．大大提高了自寻优所得最佳风／煤比的可靠性，更为有效地确保锅炉稳定运行在最佳燃烧状态．

This paper presents a method to design intelligent control system. which is applied to the optimization of combustion status in coal-fired boilers. Composed of a knowledge-based switch controller, a fuzzy optimizing controller and a fuzzy neural network controller, this system not only has the capability of self-learning. but can optimize the Air/Fuel Ratio on-line automatically to sustain the optimum combustion condition, whenever the boiler is running normally or disturbed by the variation in load or in coal-quality The optimized Air/Fuel Ratio will be memorized and employed aa the learning sample to train the neural network, so as to optimize the neural network model. Moreover, the introduction of an assistant parameter. gross radiate energy in furnace, improves the optimization efficiency of this system. As a result, under the control of such intelligent control system. the peak of combustion efficiency will be steadily hold. and the boiler will run in a most effcient manner