Abstract
Recent advances in technology have paved the way for the increased penetration of wind energy conversion systems (WECSs) into the grid, worldwide. However, the existence of model uncertainties and intermittency of wind power can lead to malfunction of the stabilizing controllers and degrade the WECSs' power production performance. In this work, a compound control scheme comprising active fault-tolerant fractional-order nonsingular terminal sliding mode controllers (AFTSMCs) and a sliding mode observer (SMO) is developed to enhance the robustness of doubly-fed induction generator (DFIG) -based WECSs against uncertainties and maintain their desired performance. The developed AFTSMCs alleviate the chattering problem and overcome the compromise between fast response and the undesirable chattering problem. At the same time, it performs the speed trajectory tracking and rotor current regulation tasks. Moreover, under inevitable false fault detections due to unavoidable gradual performance degradations in the current sensors, a tolerance boundary is circumscribed for actual faults occurrence, allowing the developed robust SMO to estimate and reconstruct the rotor current during sensor faults with a high level of reliability. Evaluations of comparative performance are provided and validate the cooperative fault-tolerant method's superior control performance over other advanced approaches.
Original language | English |
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Pages (from-to) | 1750-1759 |
Number of pages | 10 |
Journal | IEEE Transactions on Industry Applications |
Volume | 60 |
Issue number | 1 |
Early online date | 22 Sept 2023 |
DOIs | |
Publication status | Published - Feb 2024 |
Keywords
- Wind turbine
- Fault-tolerant control
- Higer-order sliding mode control
- Sliding mode observer
- Sensor faults
- Torque
- Uncertainty
- Doubly fed induction generators
- Rotors
- Observers
- Aerodynamics
- Stators
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Industrial and Manufacturing Engineering