Izvorni znanstveni članak
https://doi.org/10.7305/automatika.2016.01.1000
TS Fuzzy Logic-Based Rotor Resistance Tuning in case of Induction Machine Vector Control
Mohamed Bahloul
; Electrical Department, National School of Engineers of Sfax, Soukra Street, Sfax; 3072, Tunisie
Larbi Chrfi-Alaoui
; GEII Department, University of Picardie Jules Verne, 13 François Mitterrand avenue, Cuffies,02280 France
Mansour Souissi
; Electrical Department, National School of Engineers of Sfax, Soukra Street, Sfax; 3072, Tunisie
Mohamed Chaabane
; Electrical Department, National School of Engineers of Sfax, Soukra Street, Sfax; 3072, Tunisie
Saïd Drid
; Electrical Department, University of Batna, Route de Biskra, Batna, 5000, Algeria
Sažetak
In this paper, we focus on the estimation of the rotor resistance to online tune the controllers in case of the Indirect Rotor Field Orientation Control (IRFOC) of Induction Machine (IM). The proposed method is based on the development of an adaptive Takagi-Sugeno (TS) fuzzy flux observer, described in a d-q synchronous rotating frame, to concurrently estimate the IM states and the rotor resistance variation. An investigation of the local pole placement is carried out in order to guarantee both the stability and specified observer dynamic performances. The observer's gains design is based on the resolution of sufficient conditions driven into LMIs terms (Linear Matrix Inequalities). Simulation and experimentation are carried out to show the effectiveness of the proposed results.
Ključne riječi
Rotor resistance estimation; Fuzzy logic; Luenberger observer; D-stability analysis; IM Vector Control
Hrčak ID:
154035
URI
Datum izdavanja:
19.2.2016.
Posjeta: 1.383 *