Optimization of a Speed Controller of a DFIM with Metaheuristic Algorithms †
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Date
2023-01-16
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Publisher
Journals/ Engineering Proceedings- 2023, 29, 13. pp 01-10.
Abstract
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.