Hybrid bacteria foraging-particle swarm optimization algorithm in DTC performance improving for induction motor drive

<p dir="ltr"><span>This paper presents a hybrid algorithm that combines the particle swarm optimization method with bacteria foraging technique, named: BF-PSO. The aim is to achieve more efficient and precise parameters determination of regulators leads performance improvement in speed-loop control an induction motor (IM) implemented direct torque (DTC). approach consists tuning proportional-integral (PI) meet high dynamics tracking behavior using BF-PSO algorithm. </span>Investigations have been completed Matlab/Simulink several tests are conducted. comparison results exposed most used indices controllers' techniques. It will be shown presented technique better quality compared conventional calculated PI.</p><div><span><br /></span></div>