Optimization of a Speed Controller of a DFIM with Metaheuristic Algorithms

This study proposes a control architecture based on iterative stochastic algorithms to control the doubly-fed induction machine (DFIM), often used in wind systems. We briefly present the modeling of this machine. We describe in more detail the control architecture based on indirect vector control by...

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Bibliographic Details
Published in:Engineering proceedings 2023-01, Vol.29 (1), p.13
Main Authors: Chetioui Lotfi, Zennir Youcef, Arabi Marwa, Horst Schulte, Bendib Riad, Mechhoud El-Arkam
Format: Article
Language:English
Subjects:
doubly-fed induction machine
IFOC-PI controller
meta-heuristic algorithms
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Summary:This study proposes a control architecture based on iterative stochastic algorithms to control the doubly-fed induction machine (DFIM), often used in wind systems. We briefly present the modeling of this machine. We describe in more detail the control architecture based on indirect vector control by flux orientation (IFOC). This control architecture is optimized with the application of iterative stochastic algorithms applied to the speed controller. The optimization algorithms used were Particle Swarm Optimization (PSO), Harris Hawk Optimization (HHO) and Salp Swarm Algorithm (SSA). A comparative study under Matlab/Simulink between the different results obtained clearly shows the effectiveness of our approach.
ISSN:2673-4591
DOI:10.3390/engproc2023029013