ROBUST SLIDING-MODE-BASED LEARNING FOR MAXIMUM POWER POINT TRACKING PHOTOVOLTAICS SYSTEM

Abdal-Razak Shehab Hadi; Adnan Alamili; Ali Abdyasser Kadhum

doi:10.30572/2018/KJE/160215

Authors

Abdal-Razak Shehab Hadi Electrical Engineering Department, Faculty of Engineering, University of Kufa, Kufa, Iraq https://orcid.org/0000-0002-5329-5880
Adnan Alamili Electrical Engineering Department, Faculty of Engineering, University of Kufa, Kufa, Iraq https://orcid.org/0000-0002-8316-6553
Ali Abdyasser Kadhum Electric Technical Department, Kufa Technical Institute, Al-Furat Al-Awsat Technical University, Iraq

DOI:

https://doi.org/10.30572/2018/KJE/160215

Keywords:

Photovoltaic system, Maximum power point tracking (MPPT), Perturb and observe (P&O) algorithm, PID controller, SMLC

Abstract

Maximum power point tracking (MPPT) is crucial for optimizing the energy extraction from solar modules in photovoltaic (PV) systems. This paper focuses on maximizing the energy extraction from solar panels and explores the important aspects of MPPT technology in PV systems. The sliding mode learning controller (SMLC) created for MPPT provides a new way to deal with environmental factors, including radiation and temperature fluctuations. The study compares the disturbance-insensitive SMLC with linear proportional-integral-derivative (PID) controllers and conventional sliding mode controllers (CSMC). The SMLC enhances the maximum energy extraction by tracking the reference voltage signal using the perturb and observe (P&O) algorithm. Moreover, the controller can adapt to the dynamic changes in PV characteristics thanks to the learning system. The result shows that the proposed SMLC offers significant benefits, especially in challenging operating conditions. It demonstrates superior vibration-free performance, fast response (with a settling time of 24.7 ms), and smooth and precise tracking compared to other controllers.

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Author Biographies

Abdal-Razak Shehab Hadi, Electrical Engineering Department, Faculty of Engineering, University of Kufa, Kufa, Iraq

received his B.Sc. from the University of Baghdad in 1987 and his M.Sc. and PhD from Saint Petersburg Polytechnic Government University (Russian Federal University) in 2000 and 2004, respectively. Currently a full-time lecturer in the electrical engineering department (Head of the department 2007-2014), Faculty of Engineering, University of Kufa, Iraqi Ministry of High Education and Scientiﬁc Research. His research includes the design and modeling of complex control systems for switched reluctance motors (SRM), power planes, and power electronic converters. He can be contacted at email: [email protected].
Adnan Alamili, Electrical Engineering Department, Faculty of Engineering, University of Kufa, Kufa, Iraq

received his B.Sc. in Electronics and Communication Engineering, and his M.Sc. in Electronic Engineering in 1994 and 2000 respectively, both from the Electrical and Electronic Engineering Department, University of Technology, Iraq. He received his PhD in Electronic/Control Engineering from Engineering College/Cardiff University, the UK in 2020, a specialist in energy conservation, control, and management. Member of the Faculty of Engineering at the University of Kufa, Iraq since 2006. Member of Iraqi Engineers Union since 1994. He can be contacted at email: [email protected].
Ali Abdyasser Kadhum, Electric Technical Department, Kufa Technical Institute, Al-Furat Al-Awsat Technical University, Iraq

received his BSc from the University of Baghdad, Iraq, and his M.Sc. (in 2009) from the University of Technology, Iraq. He has been a lecturer at the Al-Furat Al-Awsat Technical University Department of Electrical Techniques/Kufa Technical Institute since 2000. His research is focused on electric power engineering. He can be contacted at email: [email protected] or [email protected].

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