SELF TUNING FUZZY LOGIC CONTROL FOR SRM DRIVEN FROM A SOLAR ENERGY SOURCE

Document Type : Original Article

Authors

1 Electronics Research Institute, Power Electronics and Energy Conversions & Photovoltaic Cells Departments

2 Jizan University, Faculty of Engineering, Electrical Engineering Department, KSA

3 Jizan Technical College, TVTC, Jizan, KSA.

Abstract

This paper presents anadaptive fuzzy logic controller for a switched reluctance motor driven from a
photovoltaic supply. The controller is designed to overcome difficulties in SRM operation such as
wide speed range, rotor position estimation and photovoltaic nonlinear characteristics. The basic
configuration of the fuzzy logic controller (FLC) is introduced and the functions of components are
illustrated. The proposed block diagram of the SRM Motor system control under FLC is configured.
The system controller manipulated variable as well as the actuators were clearly defined where all
the system disturbances are included in the proposed block diagram. The system operation algorithm
as well as the FLC algorithm is introduced. The FLC input-variables membership functions as well
as the output consequences are illustrated with their universe of discourses. The proposed system is
simulated usingMatlab/Simulink and FLC is tested. The simulation results show that the controller
is very fast and accurate in tracking the reference speed overall operating conditions.

Keywords

ERJ. Engineering Research Journal
Volume 35, Issue 4
October 2012
Pages 223-232

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