Direct Torque Control of Induction Motor Based on Neurofuzzy
Engineering and Technology Journal,
2013, Volume 31, Issue 17, Pages 3259-3273
AbstractThe main objective of this work is to improve the speed and torque responses of
three phase Induction Motor (IM) during different loads and speeds conditions.
Induction Motor is most commonly used in different industrial applications, that
require fast dynamic response and accurate control over wide speed ranges.
Therefore, this work proposes Direct Torque Control (DTC). Particle Swarm
Optimization (PSO) technique is used for optimal gains tuning of PI. The results
show the improvement in the speed response of DTC, in terms of reducing steady
state error, ripple reduction in the torque and speed responses. Neurofuzzy
(ANFIS) controller is used to improve the performance of PI-PSO controller.
ANFIS controller is trained by using PI-PSO data. The results of the ANFIS
controller are better than PI-PSO in terms of torque ripple minimization, less
steady state error in the speed response and more robustness. The simulation of the
overall drive system is performed using MATLAB/Simulink program version 7.10
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