摘要
烧结过程控制在总体上可分解为烧结矿化学成分的控制、烧结过程状态的控制和烧结能耗的控制三个方面。烧结过程的动态复杂性和长时滞性，要求对烧结矿化学成分进行提前预报，并采用数学模型与知识模型相结合的控制方法。烧结过程状态控制则必须综合考虑热状态的控制和透气性状态的控制；烧结过程状态的影响因素多且相互制约，宜采用以知识模型为主的控制方法。专家系统、人工神经网络和模糊控制等人工智能技术的应用已成为烧结过程控制的重要发展方向。
Generally, sintering process control consists of sinter chemical composition control, sintering process state control and sintering energy consumption control. In view of its complexity in dynamic state and long time delays in sintering process, sinter chemical composition should be predicted in advance and controlled by the method utilizing both mathematical model and knowledge model. For the sintering process state, comprehensive consideration must be given to both its thermal state and permeability. The factors affecting the sintering process state are more and restrain each other, and therefore knowledge model should be used as a main control method. The application of artificial intellingence techniques, such as expert system, neural network and fuzzy control, has been a major way forward for sinter process control techniques.
出处
《矿冶工程》
CAS
CSCD
北大核心
1999年第3期3-6,共4页
Mining and Metallurgical Engineering
关键词
烧结
过程控制
化学成分
烧结状态
烧结能耗
sintering proces
control
chemical composition
sintering stete
sintering energy consumption
