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This paper summarises the findings of many studies and surveys in the water and energy sectors in order to make recommendations for water and energy policies in Algeria. We provide an overview of current policy concerning water, energy, and climate…

This paper presents a fuzzy-logic-based vector control for a five-phase permanent-magnet synchronous motor (PMSM). The high-performance of the proposed fuzzy logic control (FLC)-based PMSM drive are investigated and compared with the conventional…

This paper presents a fuzzy-logic-based vector control for a five-phase permanent-magnet synchronous motor (PMSM). The high-performance of the proposed fuzzy logic control (FLC)-based PMSM drive are investigated and compared with the conventional…

This paper presents a study of an Intelligent Maximum Power Point Tracking (IMPPT) system for the Standalone PV system. The proposed MPPT technique is based on a fuzzy control concept (FLC). FLC is easy to design due it doesn’t require precise system…

This work presents an intelligent approach for the performance improvement and optimization of the control of a photovoltaic system to track maximum power point under variable temperature and isolation conditions. First, we present the controller…

The main goal of this work is to control the terminal voltage of a Self-excitation induction generator (SEIG) that supplies autonomous load and is driven by a variable speed wind turbine. More advanced strategies of control have been suggested and…

The analysis and evaluation of risks by the LOPA method requires the presence of certain data and information on the various risk evaluation parameters such as, the frequencies of initiating events, the probabilities failures of the security barriers…

The analysis and evaluation of risks by the LOPA method requires the presence of certain data and information on the various risk evaluation parameters such as, the frequencies of initiating events, the probabilities failures of the security barriers…

In this study, a manipulator robot with two degrees of freedom was controlled by Fuzzy-PI adjust by three meta-heuristic algorithms (Grey wolf optimizer (GWO), Whale Optimization Algorithm (WOA) and Teaching–learning-based optimization (TLBO)). The…

In this study, a manipulator robot with two degrees of freedom was controlled by Fuzzy-PI adjust by three meta-heuristic algorithms (Grey wolf optimizer (GWO), Whale Optimization Algorithm (WOA) and Teaching–learning-based optimization (TLBO)). The…
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