Optimization of a Speed Controller of a DFIM with Metaheuristic Algorithms

Optimization of a Speed Controller of a DFIM with Metaheuristic Algorithms

Blog Article

This study proposes a control architecture based on iterative stochastic algorithms to turbo air m3f72-3-n 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 read more (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.