The paper addresses the development of a perturb and observe algorithm implemented for maximum power point tracking control of a permanent magnet synchronous generator. It is shown that this algorithm tracks the optimum operation point and provides fast response even in the presence of faults. The strategy implements the tracking algorithm by using real - time measurements, while providing maximum power to the grid without using online data training. The solution is simulated in the Matlab and Simulink to verify the effectiveness of the proposed approach when fault-free and faulty conditions are considered. The simulation results highlight efficient, intrinsic and passive fault tolerant performances of the algorithm for electric generators and converters with low inertia.

Robust Control Design Solution for a Permanent Magnet Synchronous Generator of a Wind Turbine Model

Simani, S
Primo
Writing – Review & Editing
;
2022

Abstract

The paper addresses the development of a perturb and observe algorithm implemented for maximum power point tracking control of a permanent magnet synchronous generator. It is shown that this algorithm tracks the optimum operation point and provides fast response even in the presence of faults. The strategy implements the tracking algorithm by using real - time measurements, while providing maximum power to the grid without using online data training. The solution is simulated in the Matlab and Simulink to verify the effectiveness of the proposed approach when fault-free and faulty conditions are considered. The simulation results highlight efficient, intrinsic and passive fault tolerant performances of the algorithm for electric generators and converters with low inertia.
978-3-031-16071-4
978-3-031-16072-1
Robust control design, Passive fault tolerant control, Maximum power point tracking, Perturb and observe algorithm, Permanent magnet synchronous generator, Wind turbine model
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2501204
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