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Mathematical Problems in Engineering
Volume 2018, Article ID 5412062, 18 pages
Research Article

Fuzzy Logic System for Intermixed Biogas and Photovoltaics Measurement and Control

1Department of Electrical and Mining Engineering, University of South Africa, Florida 1710, South Africa
2Department of Electrical and Electronic Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa

Correspondence should be addressed to Zenghui Wang; moc.liamg@hgnezgnaw

Received 29 September 2017; Revised 1 January 2018; Accepted 17 January 2018; Published 28 February 2018

Academic Editor: Anna M. Gil-Lafuente

Copyright © 2018 Liston Matindife et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study develops a new integrated measurement and control system for intermixed biogas and photovoltaic systems to achieve safe and optimal energy usage. Literature and field studies show that existing control methods on small- to medium-scale systems fall short of comprehensive system optimization and fault diagnosis, hence the need to revisit these control methods. The control strategy developed in this study is intelligent as it is wholly based on fuzzy logic algorithms. Fuzzy logic controllers due to their superior nonlinear problem solving capabilities to classical controllers considerably simplify controller design. The mathematical models that define classical controllers are difficult or impossible to realize in biogas and photovoltaic generation process. A microcontroller centered fuzzy logic measurement and control embedded system is designed and developed on the existing hybrid biogas and photovoltaic installations. The designed system is able to accurately predict digester stability, quantify biogas output, and carry out biogas fault detection and control. Optimized battery charging and photovoltaic fault detection and control are also successfully implemented. The system is able to optimize the operation and performance of biogas and photovoltaic energy generation.