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This paper comes up with a novel fuzzy control design for a wind conversion system (WCS). To do this, a boost converter is employed to adjust the rectified voltage under different wind speed levels. Initially, the boost converter model is well presented via the Takagi-Sugeno approach. Then, a T-S fuzzy controller is designed to promptly calculate the duty cycle required for an optimal power operation. Afterward, the optimal DC current is determined and then transferred to the reference model to instantly determine the desired trajectories. These latter should be preserved so as to reach the maximum power. Following that, linear matrix inequalities (LMIs) are also used to guarantee the stability analyses and the H performance. Finally, the sound performance and the validity of the suggested control schema are both proved by a numerical and some experimental results.

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This paper presents a novel fuzzy control strategy for maximum power tracking of Wind Energy Conversion System (WECS) using a Permanent Magnet Synchronous Generator (PMSG) supplying a DC load through a AC/DC converter. The proposed fuzzy controller allows to extract the maximum power from the wind turbine which leads to an optimal operation of the WECS. First, the dynamics behaviour of the (WECS) is represented by a Takagi Sugeno (T-S) fuzzy model. Then, a reference model-based tracking controller is proposed to achieve a maximum power point tracking even when we consider varying wind speed profile. The controller gains are calculated by solving Linear Matrix Inequalities (LMIs). Finally, simulation results are presented to illustrate the effectiveness of the proposed approach.

In today's global economy, the most successful engineering managers rely on a combination of technical skills and business principles. Industrial and systems engineering (ISE) aims at imparting fundamental knowledge to develop the ability to address complex industrial issues, highlighting how to design, run, control and optimise production systems. IJISE addresses the development of ISE principles, tools, systems and methods with special emphasis on the applications of ISE techniques and tools in improving organisational productivity and competitiveness in global markets.