DocumentCode :
2756003
Title :
Internal Model Control for Inverse System Based on Support Vector Machine and Its Application
Author :
Liu, Sheng ; Li, Yanyan ; Du, Yanchun
Author_Institution :
Autom. Coll., Harbin Eng. Univ.
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
6336
Lastpage :
6339
Abstract :
Because of the large inertia and lag characteristics of the super-heated steam temperature system, an internal model control method for inverse system based on support vector machine (SVM) was presented. According to the input and output datum of the system, this method identified o th-order inverse system of the original system by using support vector machine regression (SVMR). Combining the inverse system with original system can form o th-order pseudo-linear system, then applied internal model control to the pseudo-linear system. Simulating results show that this method has high track precision, good disturbance-rejecting capability. And it is easy to design and apply
Keywords :
heat systems; inverse problems; linear systems; regression analysis; steam power stations; support vector machines; temperature control; disturbance-rejecting capability; internal model control; inverse system; pseudolinear system; super-heated steam temperature system; support vector machine regression; Automatic control; Automation; Control system synthesis; Educational institutions; Electronic mail; Intelligent control; Inverse problems; Support vector machines; Temperature control; internal model control (IMC); inverse system; super-heated steam temperature system; support vector machine (SVM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1714303
Filename :
1714303
Link To Document :
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