DocumentCode :
640994
Title :
Performance analysis of fuzzy based sensorless induction motor drive with Photovoltaic source
Author :
Kumar, Bijendra ; Chauhan, Yogesh K. ; Shrivastava, Vivek
Author_Institution :
Sch. of Eng., Gautam Buddha Univ., Noida, India
fYear :
2013
fDate :
7-10 July 2013
Firstpage :
1
Lastpage :
6
Abstract :
It is a need of the time to use renewable energy along with the efficient energy systems. In this paper, analysis of vector controlled induction motor drive without speed sensor is presented. For speed estimation, Model Reference Adaptive System (MRAS) scheme based on a rotor flux error is employed to obtain a close loop speed control operation. Two different controllers used in MRAS scheme for the adaptation of rotor speed are: fuzzy logic controller (FLC) and conventional fixed gain proportional-integral (PI) controller. A simple and accurate model is developed for each component of the system. System performance is analyzed for different operating conditions for induction motor drive and Photovoltaic array.
Keywords :
PI control; angular velocity control; closed loop systems; energy conservation; error analysis; fuzzy control; induction motor drives; machine vector control; model reference adaptive control systems; photovoltaic power systems; power generation control; rotors; sensorless machine control; FLC; MRAS scheme; PI controller; close loop speed control system; energy efficiency; fuzzy based sensorless induction motor drive; fuzzy logic controller; model reference adaptive system; photovoltaic array; photovoltaic source; proportional-integral controller; renewable energy source; rotor flux error; speed estimation; vector controlled induction motor drive; Adaptation models; Arrays; Estimation; Induction motors; Mathematical model; Niobium; Rotors; Fuzzy logic control(FLC); PV Array; Sensorless induction motor drive; Vector control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
ISSN :
1098-7584
Print_ISBN :
978-1-4799-0020-6
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2013.6622460
Filename :
6622460
Link To Document :
بازگشت