Scholarlink

<p>This work presents the design and validation of a standalone wind-powered water pumping system. The proposed system integrates a permanent magnet synchronous generator, power electronic converters, and advanced control strategies to maximize energy utilization. It consists of a rectifier, a direct current–direct current boost converter, and a bidirectional converter connected to a battery storage unit, while a direct current motor drives the water pump. Each component is modeled and sized according to wind energy availability and irrigation demand to ensure reliable and continuous operation. To address nonlinear and highly variable characteristics of wind energy, an adaptive fuzzy sliding mode control strategy is developed for maximum power point tracking. This controller combines robustness of sliding mode control with adaptability of fuzzy logic control, enabling fast and stable convergence toward the optimal operating point under diverse wind conditions. In addition, a rule-based control strategy is employed for energy management, prioritizing direct use of wind energy while utilizing stored energy during periods of low wind speed to maintain uninterrupted pump operation. The proposed approach is validated through simulations conducted in a numerical simulation environment under two scenarios: controlled variable wind profiles to evaluate controller performance and real daily wind speed data to assess practical feasibility. Results demonstrate that adaptive fuzzy sliding mode control achieves superior maximum power point tracking performance, reaching an efficiency of 98.7%, with rapid convergence and approximately 60% reduction in chattering compared with conventional sliding mode control and perturb and observe method. Concurrently, rule-based control strategy ensures reliable energy distribution and extended system autonomy under variable wind conditions. Overall, integrated control framework demonstrates strong potential for cost-effective off-grid irrigation applications, particularly in rural and remote areas.</p> Graphical abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Integrated adaptive fuzzy sliding mode control and rule-based energy management for standalone wind systems

  • 期刊论文

  • 发表日期：

    2026年6月22日

查看全文
  • S. Miqoi,
  • B. Tidhaf,
  • A. El Ougli,
  • D. Gezzaz

摘要

This work presents the design and validation of a standalone wind-powered water pumping system. The proposed system integrates a permanent magnet synchronous generator, power electronic converters, and advanced control strategies to maximize energy utilization. It consists of a rectifier, a direct current–direct current boost converter, and a bidirectional converter connected to a battery storage unit, while a direct current motor drives the water pump. Each component is modeled and sized according to wind energy availability and irrigation demand to ensure reliable and continuous operation. To address nonlinear and highly variable characteristics of wind energy, an adaptive fuzzy sliding mode control strategy is developed for maximum power point tracking. This controller combines robustness of sliding mode control with adaptability of fuzzy logic control, enabling fast and stable convergence toward the optimal operating point under diverse wind conditions. In addition, a rule-based control strategy is employed for energy management, prioritizing direct use of wind energy while utilizing stored energy during periods of low wind speed to maintain uninterrupted pump operation. The proposed approach is validated through simulations conducted in a numerical simulation environment under two scenarios: controlled variable wind profiles to evaluate controller performance and real daily wind speed data to assess practical feasibility. Results demonstrate that adaptive fuzzy sliding mode control achieves superior maximum power point tracking performance, reaching an efficiency of 98.7%, with rapid convergence and approximately 60% reduction in chattering compared with conventional sliding mode control and perturb and observe method. Concurrently, rule-based control strategy ensures reliable energy distribution and extended system autonomy under variable wind conditions. Overall, integrated control framework demonstrates strong potential for cost-effective off-grid irrigation applications, particularly in rural and remote areas.

Graphical abstract