铅锌烧结过程烧穿点的模糊预测控制方法  

Fuzzy predictive control of burning through point for lead-zinc sintering process

作　　者：吴敏[1] 庄坤[1] 丁雷[1] 王春生[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《化工学报》2008年第7期1698-1702,共5页CIESC Journal

基　　金：国家杰出青年科学基金项目(60425310);国家高技术研究发展计划项目(2008AA04Z128)~~

摘　　要：针对具有时滞、非线性、不确定等特性的铅锌密闭鼓风烧结过程,提出一种烧穿点的模糊预测控制方法。首先,基于台车速度和烧穿点之间的分段线性化关系,建立烧穿点的模糊T-S模型。然后,采用动态线性化方法获得烧穿点的全局模型,并在此基础上进行模型预测控制器设计,以实现烧穿点的模糊预测控制。最后,采用烧结生产历史数据,对模糊预测控制方法进行了仿真和实验研究。结果表明:模糊T-S模型能有效抑制垂直燃烧速度不确定性的影响,具有较高的辨识精度,能够满足工业现场生产指导的需要;此外,烧穿点的模糊预测控制方法比单纯的模糊控制调节时间短、超调量小,能快速有效地响应烧穿点的变化,具有一定的应用价值。Based on uncertainty, a fuzzy some features in predictive control lead-zinc sintering process, such as time-delay, nonlinearity and method for burning through point was proposed. First, to deal with the uncertainty of vertical burning velocity, a fuzzy T-S （Takagi-Sugeno） model for burning through point was established based on the piecewise linearization characteristics between burning through point and sinter strand velocity. Then, the model predictive controller was designed based on the global model obtained by the dynamic linearization method. The simulation results illustrated the effectiveness of the method proposed. The precision values of the fuzzy T-S model were respectively 89.0~//0 and 95.0% while the allowed relative errors were within 2% and 3%. The fuzzy T-S model was much more precise than the neural network model for burning through point based on process parameters. The rise time and regulating time of the fuzzy predictive control method were respectively 9 min and 18 min which were both much shorter than those by using the fuzzy control method for burning through point in lead-zinc sintering process.

关 键 词：铅锌烧结过程 烧穿点 模糊预测控制 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]