To maximize power production efficiency and preserve stability under changing climatic circumstances, renewable energy systems, especially VSVP wind turbines, must be integrated into the power grid. Wind speed changes and grid disruptions influence their performance. This paper suggests an enhanced hybrid control system for Doubly Fed Induction Generator (DFIG)-based wind turbines to optimize aerodynamic performance, power collection, and fault resilience. This study aims to improve power extraction efficiency and Fault Ride-Through (FRT) capacity by merging MPC and SMC. Dynamically adjusting pitch angle and generator torque optimizes power coefficient (Cp) and reduces pitch angle variation, rotor speed fluctuations, and reaction time. For fault mitigation during voltage dips, Higher-Order Sliding Mode Control (HOSMC) and the Super-Twisting Algorithm (STA) modulate DFIG electromagnetic force to reduce torque ripples, mitigate the voltage sags, and minimize THD. MATLAB implements the framework. Improved power coefficient (Cp) of 0.52 at λ = 6.5 surpasses PI (0.42) and Fuzzy Logic (0.48) controllers. THD is 1.8%, compared to 3.5% (PI) and 2.3% (Fuzzy Logic), assuring improved power quality. Torque ripple is reduced to 2.1%, stabilizing turbines. The suggested technique increases FRT, energy capture, and grid stability. Our dual-layer control approach may improve wind turbine efficiency, dependability, and resilience under changeable wind and grid circumstances.
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CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Ravi Shankar A and Jyothsna T R;
Methodology: Ravi Shankar A;
Software: Jyothsna T R;
Data Curation: Ravi Shankar A;
Writing- Original Draft Preparation: Ravi Shankar A and Jyothsna T R;
Visualization: Ravi Shankar A;
Investigation: Jyothsna T R;
Supervision: Jyothsna T R;
Validation: Ravi Shankar A;
Writing- Reviewing and Editing: Ravi Shankar A and Jyothsna T R; All authors reviewed the results and approved the final version of the manuscript.
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Ravi Shankar A
Department of Electrical Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India.
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Cite this article
Ravi Shankar A and Jyothsna T R, “Innovative Aerodynamic and Fault Tolerant Control for VSVP Wind Turbines and DFIG Using Predictive and Sliding Mode Techniques”, Journal of Machine and Computing, vol.5, no.3, pp. 1889-1904, July 2025, doi: 10.53759/7669/jmc202505148.
