DocumentCode :
2812552
Title :
The Research of a New Soft-Sensing Method of Gauge
Author :
Yong-lei Zhao ; De-zhong Zheng
Author_Institution :
Meas. Technol. & Instrum. Key Lab. of Hebei Province, Yanshan Univ., Qinhuangdao, China
fYear :
2009
fDate :
1-3 Nov. 2009
Firstpage :
126
Lastpage :
129
Abstract :
A kind of soft-sensing method of gauge of strip based on fast generalized predictive control(GPC) algorithm is presented. Based on in-depth studying simplified calculating principle of fast GPC algorithm, and using fast algorithm´s characteristics of small calculation amount and fast calculating speed the method establishes the real-time online soft-sensing model of the strip gauge. Combining GPC´s advantages of multi-steps prediction, rolling horizon optimization and feedback compensation etc, it can better solves problems of measurement delay caused by gage installation location and measurement errors caused by tension time-varying and equipment tremor. The test results show that the method can real-time, on-line measures the exit thickness of rolling strip accurately, and provides reliable guarantee for optimized control of shape and gauge. It can also be used in the key parameters measurement of other complex industrial process.
Keywords :
gauges; industrial control; predictive control; rolling mills; time-varying systems; equipment tremor; generalized predictive control algorithm; shape optimal control; soft-sensing method; strip gauge control; time-varying tension; Delay; Feedback; Measurement errors; Optimization methods; Prediction algorithms; Shape control; Shape measurement; Strips; Testing; Thickness measurement; Automatic Gauge control; Generralized Predictive Control; Recursive Algorithm; Soft-sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
Type :
conf
DOI :
10.1109/ICINIS.2009.41
Filename :
5363088
Link To Document :
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