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