Title :
A complete solution to intelligence based multivariable predictive control scheme
Author :
Mazinan, H. ; Kazemi, M. Fallah ; Olamaei, J.
Author_Institution :
Electr. Eng. Dept., Islamic Azad Univ. (IAU), Tehran, Iran
Abstract :
A 160 MW drum-type boiler-turbine system has been selected in this paper for the purpose of dealing with through a new intelligence based multivariable predictive control (IBMPC) scheme. In the control strategy presented here, a multi-IBMPC scheme, which is developed in line with intelligence based identifier, is realized to drive a multi-multivariable model approach. Actually, a number of multivariable linear models of the system are accurately identified, at some chosen operating points, to organize the approach presented as well as its multivariable control schemes.
Keywords :
boilers; intelligent control; multivariable control systems; power generation control; steam turbines; drum-type boiler-turbine system; intelligence based identifier; intelligence based multivariable predictive control scheme; multivariable linear models; power 160 MW; Electrical engineering; Fuzzy sets; Mathematical model; Power systems; Predictive control; Predictive models; Drum-type boiler-turbine system; Multi-multivariable intelligence based predictive scheme; Multi-multivariable model approach;
Conference_Titel :
GCC Conference and Exhibition (GCC), 2011 IEEE
Conference_Location :
Dubai
Print_ISBN :
978-1-61284-118-2
DOI :
10.1109/IEEEGCC.2011.5752562
