Abstract

In the realm of wind energy systems, the quest for optimal control strategies has led to the exploration of innovative approaches. This study delves into the realm of adaptive control, specifically focusing on a Modified Fuzzy-Based Adaptive Controller designed to mitigate deviations in wind systems. This controller, a product of meticulous investigation, harnesses the power of fuzzy logic with strategic modifications to enhance its adaptability. The proposed controller exhibits a remarkable ability to dynamically adjust its parameters, ensuring optimal performance across diverse operating conditions. Through rigorous experimentation and analysis, the controller's efficacy in mitigating deviations in wind systems has been established, marking a significant advancement in the quest for robust and efficient control strategies. Renewable energy is an ever-changing field, and the Modified Fuzzy-Based Adaptive Controller is a significant advancement. This controller has the ability to adjust parameters dynamically and mitigate deviations in wind systems, which improves the efficiency of wind energy systems and contributes to the broader field of adaptive control. As innovation continues to shape the future of sustainable energy, this controller serves as a testament to the relentless pursuit of a more resilient and environmentally conscious world.