烧结过程是一个具有强非线性、强耦合性、不确定性、时变、时滞的复杂工业过程，采用传统的控制技术难以满足生产要求。该论文综合运用机理分析、先进控制理论、人工智能技术等多学科知识，对烧结过程及其控制的方法和技术进行了深入研究，提出一种基于烧结终点预测的烧结过程智能控制策略，建立了相应的智能控制系统，为有

效解决铁矿石烧结过程的控制问题提供了新的途径-Since iron ore sintering is a complex industrial process with strong

nonlinearity and coupling uncertainty，time variation，and time-delay，it

is difficult to meet the production requirements by using the traditional

control techniques．Thus，this dissertation makes a deep research on

sintering process and the related control methods and techniques by

comprehensive application of multi—subject knowledge，such as the

mechanism analysis，advanced control theory and artificial intelligence

technique，etc．An intelligent control strategy based on the prediction for

the Burning Through Point(BTP)is proposed in this dissertation，and a

corresponding intelligent control system is also established，which

provides a new effective approach to solve the control problems in iron

ore sintering process．