Disturbance observer-based finite-time adaptive neural control scheme of DFIG-wind turbine
Author:
Affiliation:
1. LAJ Laboratory, University of Jijel, Jijel, Algeria
2. Laboratory of Innovative Technology (LTI, UR UPJV 3899), University of Picardie Jules Verne, Amiens, France
Abstract
Publisher
SAGE Publications
Link
https://journals.sagepub.com/doi/pdf/10.1177/0309524X241263517
Reference33 articles.
1. An advanced robust fault-tolerant tracking control for a doubly fed induction generator with actuator faults
2. Maximum power extraction from a wind turbine using second-order fast terminal sliding mode control
3. Speed control of a wind turbine–driven doubly fed induction generator using sliding mode technique with practical finite‐time stability
4. Nonlinear predictive control of a DFIG-based wind turbine for power capture optimization
5. Fractional-order neural control of a DFIG supplied by a two-level PWM inverter for dual-rotor wind turbine system
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