Fuzzy IMC based on MEC on-line identification and its application

Author

Qingsong, Liu ; Taibin, Cao ; Suxiang, Qian

Author_Institution

Sch. of Mech. & Electr. Eng., Jiaxing Univ., Jiaxing

fYear

2008

fDate

16-18 July 2008

Firstpage

56

Lastpage

59

Abstract

Considering the requirement of high performance of system, a fuzzy internal model controller based on mind evolutionary computation is designed. The optimal parameters of the processes model are quickly obtained online by mind evolutionary computation, which are been sent to fuzzy internal model controller for accurate compensation. The controller was used to deal with large time-delay and time-varying processes. The results of simulations and experimentation show, both dynamic and steady performance are improved evidently and the results are satisfactory.

Keywords

delays; evolutionary computation; fuzzy control; neurocontrollers; time-varying systems; MEC on-line identification; fuzzy IMC; fuzzy internal model controller; mind evolutionary computation; time-delay; time-varying processes; Computational modeling; Electrical engineering; Evolutionary computation; Fuzzy control; Fuzzy systems; Intelligent control; Optimal control; Three-term control; Fuzzy internal model controller; Intelligence control; Mind evolutionary computation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605518

Filename

4605518