DocumentCode :
3308767
Title :
The DTC-SVM scheme with Takagi-Sugeno fuzzy controller for three-phase Induction Motor
Author :
Azcue P, Jose L. ; Filho, Alfeu J. Sguarezi ; Ruppert, E.
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Campinas (UNICAMP), Campinas, Brazil
Volume :
2
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
901
Lastpage :
906
Abstract :
This paper proposes the direct torque control scheme with space vector modulation and Takagi-Sugeno fuzzy controller (TSF). In conventional DTC-SVM scheme, two PI controllers are used to generate the reference stator voltage vector. To improve the drawback of this conventional DTC-SVM scheme is proposed the TSF controller to substitute both PI controllers. The proposed controller calculates the reference quadrature components of the stator voltage vector. The rule base for the proposed controller is defined in function of the stator flux error and the electromagnetic torque error using trapezoidal and triangular membership functions. Constant switching frequency and low torque ripple are obtained using space vector modulation technique. Performance of the proposed DTC-SVM with TSF controller is analyzed considering different operating conditions. The simulation results shown that the proposed scheme ensures fast torque response and low torque ripple, these results validate the proposed scheme.
Keywords :
PI control; fuzzy control; induction motors; machine vector control; modulation; torque control; DTC-SVM scheme; PI controller; TSF controller; Takagi-Sugeno fuzzy controller; direct torque control space vector modulation scheme; electromagnetic torque error; fast torque response; low torque ripple; reference quadrature component; reference stator voltage vector; stator flux error; switching frequency; three-phase induction motor; trapezoidal membership function; triangular membership function; Electromagnetics; Mathematical model; Rotors; Stators; Takagi-Sugeno model; Torque; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
Type :
conf
DOI :
10.1109/FSKD.2011.6019764
Filename :
6019764
Link To Document :
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