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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Comparative Performance Evaluation of Lorentz Torque and Conventional Damping Techniques for Wind Turbine Blade Vibration Control Using MATLAB/Simulink

Authors: Aliyu Abubakar, Mutari Hajara Ali;

Comparative Performance Evaluation of Lorentz Torque and Conventional Damping Techniques for Wind Turbine Blade Vibration Control Using MATLAB/Simulink

Abstract

Abstract This paper presents a unified MATLAB/Simulink-based comparative evaluation of a Lorentz torque damper and nine conventional passive, semi-active, and active damping techniques for wind turbine blade vibration control. All damping systems are implemented on an identical blade–generator dynamic model and subjected to the same gust-induced aerodynamic excitation to ensure objective comparison. Performance is assessed using settling time, root mean square (RMS) vibration amplitude, overshoot, added structural mass, energy consumption, maintenance demand index, vibration suppression efficiency, and cost index. Simulation results show that the Lorentz torque damper achieves the shortest settling time (3.25–5.01 s), the lowest RMS vibration amplitude (62–71% reduction), minimal overshoot, negligible added mass, and the lowest energy and maintenance requirements among all evaluated techniques. These findings demonstrate that Lorentz torque damping provides a lightweight, energy-efficient, and economically viable solution for large-scale wind turbine blade vibration mitigation. Keywords Electromagnetic damping; Lorentz torque damper; MATLAB/Simulink; Settling time; Vibration control; Wind turbine blades.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average