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中文摘要：
摹拟的渗透的聪明的综合预兆的模型用模糊分类器被建立联合时间顺序有 thecraftwork 参数的预兆的模型预兆的模型。然后，烧彻底地点(BTP ) 的评价模型基于管子应力，点(PSP ) 方法和 BTP 的预兆的模型被建议。渗透和热状态的最佳的控制被使用模糊专家控制器学习 withself 机制实现。聪明的控制技术的应用程序压制摹拟的渗透的 17% 变化和 BTP 的 12% 变化，稳定泉华的输出和质量并且解决输出的优化和 sintering 过程的质量的基础。
英文摘要：
The intelligent integrated predictive model of synthetical permeability was established using the fuzzy classifier to combine the time sequence predictive model with the craftwork parameter predictive model. Then, the estimation model of bum-through point（BTP） based on pipe stress point（PSP） method and the predictive model of BTP were proposed. The optimal control of permeability and heat states was implemented by using the fuzzy expert controller with self-studying mechanism. The application of the intelligent control technique suppresses 17% of the fluctuation of synthetical permeability and 12% of the fluctuation of BTP, stabilizes the output and quality of sinter and settles the basis for the optimization of output and quality of sintering process.
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