DocumentCode :
519461
Title :
A Measurement Method about the Key Parameters of Nonlinear System Based on Generalized Predictive Control
Author :
Qun, He ; Wei, Shan
Author_Institution :
Electr. Eng. Colledge, Yanshan Univ., Qinhuangdao, China
Volume :
1
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
467
Lastpage :
470
Abstract :
As modern industrial process’ requirement for control, metering, energy efficiency and operational reliability are getting higher and higher, the accuracy requirement for measurement instruments is getting higher too. However, because the complexity and uncertainty of production systems in industrial process have led to the difficulties of process parameter measurement, there exists many important process parameters which can not be measured by sensor or process measurement instrument directly. This paper employs the new generalized predictive control algorithm to realize simulation and optimization parameters of complex system, solving the problem of low accuracy and low speed in simulating and on-line parameter estimation. Through indirect measurement and use of other easily-obtained measurement information, it can achieve the soft-sensor of key parameters of complex system, which has great significance for realizing the closed-loop control and optimization operation of the complex industrial system.
Keywords :
Electrical equipment industry; Energy efficiency; Energy measurement; Industrial control; Instruments; Nonlinear systems; Predictive control; Predictive models; Process control; Production systems; generalized predictive control; nonlinear; parameter estimation; soft-sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-0-7695-3972-0
Electronic_ISBN :
978-1-4244-5924-7
Type :
conf
DOI :
10.1109/CESCE.2010.188
Filename :
5493177
Link To Document :
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