Author/Authors :
kumbasar, tufan istanbul teknik üniversitesi - kontrol ve otomasyon mühendisliği bölümü, turkey
Title Of Article :
Interval type-2 fuzzy PID controllers and an online self-tuning mechanism
Abstract :
In this study, the general structure of interval type-2 fuzzy PID (IT2-FPID) controllers and a self-tuning mechanism for IT2-FPID controller is presented. In this context, we will present and examine the controller structures of the type-1 fuzzy PID (T1-FPID) and IT2-FPID controllers on a generic a symmetrical 3x3 rule base. Then, an online self-tuning mechanism for IT2-FPID controllers is presented. The presented self-tuning mechanism, which was firstly presented for T1-FPID, controllers, tunes the scaling factors of IT2-FPID with respect to the current error value of the control system. A systematic design approach has been also presented for the self-tuning IT2-FPID structure. The performance of the T1-FPID, IT2-FPID and Self-Tuning IT2-FPID structures has been investigated on a simulation study conducted on a nonlinear tank system. The results have shown that, since the proposed approach has more extra degree of freedom provided by its interval type-2 fuzzy sets and self-tuning mechanism, the self-tuning IT2FPID resulted with a superior control performance in comparison with its type-1 and interval type-2 counterparts.
NaturalLanguageKeyword :
Type , 2 fuzzy sets , Fuzzy logic controllers , Self , tuning mechanism
JournalTitle :
Pamukkale University Journal Of Engineering Sciences