电子学报2017，Vol.45Issue(7)：1576-1583,8.DOI:10.3969/j.issn.0372-2112.2017.07.005
面向窑压控制的基于改进STS模型的非线性广义预测控制研究
An Improved STS Model Based Nonlinear GPC Method Orienting with Furnace Pressure Control
摘要
Abstract
Furnace pressure is one of the important variable to be controlled in the process of glass furnace operation.Owing to the influence of a large number of uncertainties,existent control algorithms tend to produce overshooting and frequent fluctuation in follow-up.Considering that simplified T-S model (STS) has a strong self-adaptive learning capability and subtractive clustering is able to handle the unsteadiness in the optimal model structure,this paper proposes,for the purpose of furnace pressure control,a generalized fuzzy nonlinear prediction approach by combining subtractive clustering and STS.This approach allows a quick approximation of the object following jumps of furnace pressure and may eliminate system unsteadiness caused by jumps.Additionally,in respect of excessive overshooting in furnace pressure step following-up,a control method is designed based on the improved STS model and integrating global optimal rolling optimization function with optimal control increment algorithm so that overshooting is restrained essentially.This approach involves little computation work and is easy to implement.关键词
窑压控制/简化T-S模型/快速广义预测控制/超调抑制Key words
furnace pressure control/simplified T-S model/fast generalized predictive control/overshoot suppression分类
信息技术与安全科学引用本文复制引用
曹政才,赵琪,雷世昌,刘民..面向窑压控制的基于改进STS模型的非线性广义预测控制研究[J].电子学报,2017,45(7):1576-1583,8.基金项目
国家自然基金(No.51375038) （No.51375038）
高等学校博士学科点专项科研基金博导类(No.20130010110009) （No.20130010110009）
吉林大学符号计算与知识工程教育部重点实验室开放课题(No.93K172014K05) （No.93K172014K05）
