DocumentCode :
579928
Title :
Performance Evaluation of Indirect Vector Controlled Induction Motor Sensorless Drive
Author :
Rajesh, T. ; Babu, Y. Srinivasa Kishore ; Tagore, Y. Ravindranath
Author_Institution :
Dept..of EEE, Vignan´´s Nirula Inst. of Technol. & Sci. for Women, Guntur, India
fYear :
2012
fDate :
3-5 Nov. 2012
Firstpage :
656
Lastpage :
660
Abstract :
This paper presents a hybrid system controller, incorporating fuzzy controller with vector control method for induction motors. The vector-control method has been optimized by using both PI and fuzzy controllers. This combines the benefits of fuzzy logic controller and vector-control in a single system controller. High quality of the regulation process is achieved through utilization of the fuzzy logic controller, while stability of the system during transient processes and a wide range of operation are assured through application of the vector control. This paper also deals with the speed estimators for applications in sensor less induction motor drive with vector control. In the present work, Indirect vector controlled induction motor sensor less drive with PI and Fuzzy controllers is implemented. It shows that the performance is better for fuzzy when compare to PI controller.
Keywords :
PI control; angular velocity control; fuzzy control; induction motor drives; machine vector control; sensorless machine control; stability; PI controllers; fuzzy logic controller; hybrid system controller; indirect vector controlled induction motor sensorless drive; performance evaluation; regulation process; speed estimators; system stability; transient processes; Induction motors; Machine vector control; Rotors; Stator windings; Torque; Vectors; Fuzzy controller; PI controller; Speed-sensorless; estimation; field-oriented control; induction machine; speed control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-2981-1
Type :
conf
DOI :
10.1109/CICN.2012.159
Filename :
6375194
Link To Document :
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