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基于LS-SVM逆系统的焦炉集气管压力系统内模控制
引用本文:董鑫,张世峰,许四长,关慧敏.基于LS-SVM逆系统的焦炉集气管压力系统内模控制[J].重庆大学学报(自然科学版),2016,39(3):109-116.
作者姓名:董鑫  张世峰  许四长  关慧敏
作者单位:安徽工业大学电气与信息工程学院,安徽马鞍山,243032
基金项目:安徽省教育厅自然科学研究资助项目(KJ2008B104);安徽工业大学研究生创新研究基金资助项目(2015010)。
摘    要:焦炉集气管压力是炼焦生产过程中重要的工艺参数,其值是否稳定,直接影响到煤气质量、焦炉寿命、焦炭质量和生产环境。针对焦炉集气管压力系统是一个强干扰、非线性和多变量耦合的复杂系统,采用LS-SVM辨识出焦炉集气管压力系统的逆系统模型,并将其串联在原系统之前,运用逆系统的方法将集气管压力系统解耦成2个相互独立的单输入单输出伪线性子系统。同时,对解耦后的系统采用非线性内模控制策略以保证系统的鲁棒性和稳定性。仿真和应用结果表明该控制策略的解耦控制效果较好,提高了系统的快速调节能力和跟踪精度,而且增强了系统的鲁棒性,可以保证焦炉集气管压力稳定在现场工艺要求的范围内。

关 键 词:集气管压力  最小二乘支持向量机  逆系统  内模控制
收稿时间:2016/3/10 0:00:00

Internal model control of gas collector pressure in coke ovens based on LS-SVM inversion
DONG Xin,ZHANG Shifeng,XU Sizhang and GUAN Huimin.Internal model control of gas collector pressure in coke ovens based on LS-SVM inversion[J].Journal of Chongqing University(Natural Science Edition),2016,39(3):109-116.
Authors:DONG Xin  ZHANG Shifeng  XU Sizhang and GUAN Huimin
Institution:Department of Electrical Engineering and Information, Anhui University of Technology, Ma''anshan 243032, Anhui, P. R. China,Department of Electrical Engineering and Information, Anhui University of Technology, Ma''anshan 243032, Anhui, P. R. China,Department of Electrical Engineering and Information, Anhui University of Technology, Ma''anshan 243032, Anhui, P. R. China and Department of Electrical Engineering and Information, Anhui University of Technology, Ma''anshan 243032, Anhui, P. R. China
Abstract:Gas collector pressure is an important parameter in the process of coking production, because the stable pressure directly affect gas quality, life of coke oven, coke quality and the production environment in coke oven. By cascading the inverse system of the gas collector pressure in coke oven identified by LS-SVM with the original one, we decoupled the system of gas collector pressure into two independent pseudo-linear subsystems of SISO according to the characteristics of the gas collector pressure system in coke oven, such as strong external disturbances, non-linear and coupling relations, etc. Meanwhile, an internal model controller was introduced into the two subsystems to guarantee their robustness and stability. Simulation and application results show that the control strategy has good decoupling features, and improve the rapidity, tracking accuracy and robustness of the system. And the gas collector pressure can be controlled in reach the desired technology range.
Keywords:gas collector pressure  least squares support vector machines  inverse system  internal model control
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