基于多支持向量机模型和优化控制器的板形板厚控制

针对带钢热连轧过程中互相耦合的板形、板厚控制问题,提出一种综合控制策略.首先,在输入空间划分的基础上建立包含多个子模型的多支持向量机模型,并通过主元分析方法实现模型输出的综合;然后,利用建立起来的模型设计优化控制器,对板形、板厚进行综合控制.计算机仿真和现场实验结果均表明了所提出的基于多支持向量机模型的综合控制策略能同时有效地减小板形、板厚偏差.

Strip shape and gauge control based on multiple SVM model and optimization controller

Aiming at the coupled shape and gauge control problem in hot strip mills,a complex control strategy is proposed.Based on the division of the input space,a multiple support vector machine model with several sub-models is established,and the principal component regression method is used for the output synthesis of the sub-models.Based on the established model,an optimization controller is designed for the complex control of strip shape and gauge.Simulation and field experiments show that the proposed complex control method based on the multiple support vector machine model can effectively reduce the gauge and shape control error at the same time.