Modelling and Design of A fuzzy based Brushless DC (BLDC) motor drive for solar photovoltaic array fed pumping system

Authors(2) :-K. Vasudeva Rao, M. Purushotham

This paper proposes a basic, cost effective and effective brushless DC (BLDC) motor drive for sun based photovoltaic (SPV) cluster encouraged water pumping system. A zeta converter is used with a specific end goal to separate the greatest accessible power from the SPV array. The proposed control calculation dispenses with stage current sensors and adjusts an essential recurrence switching of the voltage source inverter (VSI), in this manner keeping away from the power losses because of high recurrence switching. No extra control or hardware is utilized for speed control of the BLDC motor. The speed is controlled through a variable DC connect voltage of VSI. A fitting control of zeta converter through the incremental conductance greatest power point following (INC-MPPT) calculation offers delicate beginning of the BLDC motor. The proposed water pumping system is planned and demonstrated with the end goal that the execution is not influenced under element conditions

Authors and Affiliations

K. Vasudeva Rao
PG Student / Dept. of Electrical & Electronics Engineering,: Shree Institute of Technical Education, Tirupathi A.P. India
M. Purushotham
Assistant Professor / Dept. of Electrical & Electronics Engineering, Shree Institute of Technical Education, Tirupathi, A.P. India

BLDC motor, SPV array, Water pump, Zeta converter, VSI, INC-MPPT

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 866-877
Manuscript Number : CSEIT1725197
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

K. Vasudeva Rao, M. Purushotham, "Modelling and Design of A fuzzy based Brushless DC (BLDC) motor drive for solar photovoltaic array fed pumping system ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.866-877, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT1725197

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