Sliding Mode Controller and Fuzzy PID for Doubly Fed Induction Generator
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Date
2026-01-31
Journal Title
Journal ISSN
Volume Title
Publisher
Journal Européen des Systèmes Automatisés Vol. 59, No. 1, January, 2026, pp. 21-28
Abstract
In modern control engineering, the demand for robust and adaptive control strategies is
critical for managing complex, nonlinear, and uncertain systems. This paper investigates
sliding mode control (SMC) and fuzzy PID control applied to a doubly fed induction
generator (DFIG), two advanced techniques widely used in both industrial and academic
contexts. SMC is known for its high robustness and finite-time convergence; however, it
suffers from chattering and dependence on accurate system modeling. In contrast, the
fuzzy PID controller combines the classical PID structure with fuzzy logic to provide
adaptive and smooth control without requiring a precise mathematical model. Through
theoretical analysis and a review of recent research findings, this study highlights the
strengths and limitations of each method in terms of robustness, adaptability,
implementation complexity, and application suitability. The results indicate that while
SMC excels in robustness and precision, the fuzzy PID controller offers a more flexible
and user-friendly alternative for systems with nonlinear or uncertain dynamics. Ultimately,
the choice between the proposed methods depends on the specific requirements of the
target application, with future research opportunities lying in hybrid strategies that
combine the robustness of SMC with the adaptability of fuzzy PID control to enhance
performance in renewable energy systems.