Title: Performance analysis of fuzzy-SMC-based MPPT algorithm for solar PV systems

Authors: Ravindranath Tagore Yadlapalli; Rajani Kandipati; Ramakoteswara Rao Alla

Addresses: Department of Electrical and Electronics Engineering, R.V.R. and J.C. College of Engineering, Chowdavaram, Guntur, Andhra Pradesh, 522019, India ' Department of Electrical and Electronics Engineering, Vignan's Lara Institute of Technology and Science (VLITS), Vadlamudi, Guntur, Andhra Pradesh, 522213, India ' Department of Electrical and Electronics Engineering, R.V.R. and J.C. College of Engineering, Chowdavaram, Guntur, Andhra Pradesh, 522019, India

Abstract: Nowadays the solar power generation is more dominant due to their phenomenal contributions such as low-lying running expenditures and also an inexhaustible source of energy as compared to the fossil fuel-based power generation. However, the degraded issue connected with the solar power generation is the unstable atmospheric circumstances. This necessitates the maximum power to be gleaned from the solar panel against the uncertain environmental situations. Therefore, this paper articulates the distinct maximum power point techniques (MPPTs) for the boost converter-based solar panel. It is based on the sliding mode control (SMC) and the integrated fuzzy logic-sliding mode control (FLC-SMC) MPPT techniques. In view of the above, the modelling of the solar PV panel is burnished with the aid of single-diode model. The appropriate fuzzy rules are framed along with the SMC design. The key parameters under consideration are the tracking time and error. The extensive MATLAB/Simulink simulation results are delineated based on the SMC and integrated fuzzy-SMC MPPT algorithms along with their performance comparison.

Keywords: solar PV system; fuzzy logic control; sliding mode control.

DOI: 10.1504/IJICA.2024.143401

International Journal of Innovative Computing and Applications, 2024 Vol.15 No.1, pp.38 - 49

Received: 27 Apr 2024
Accepted: 30 Sep 2024
Published online: 17 Dec 2024 *

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