SELF TUNING FUZZY LOGIC CONTROL FOR SRM DRIVEN FROM A SOLAR ENERGY SOURCE | ||||
| ERJ. Engineering Research Journal | ||||
| Article 5, Volume 35, Issue 4, October 2012, Page 223-232 PDF (792.43 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2012.67185 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Ahmed Said Oshaba1; Yousry Atia2; Mohamed Zahran3 | ||||
| 1Electronics Research Institute, Power Electronics and Energy Conversions & Photovoltaic Cells Departments | ||||
| 2Jizan University, Faculty of Engineering, Electrical Engineering Department, KSA | ||||
| 3Jizan 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 | ||||
| SRM; Sensorlessalgorithm; PV system; and Fuzzy logic control | ||||
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