Title :
Direct torque control of induction motor drive system with adaptive sliding-mode neuro-fuzzy compensator
Author :
Dybkowski, Mateusz ; Szabat, Krzysztof
Author_Institution :
Wroclaw Univ. of Technol., Wroclaw, Poland
Abstract :
The paper deals with the concept of an adaptive compensator based on the MRAC structure for the Direct Torque Control of an induction motor drive. The adaptive speed compensator uses fuzzy neural network equipped with an additional option for on-line tuning of its chosen parameters. In the paper a sliding-mode PD fuzzy logic controller is used as the speed compensator, whose connective weights are trained on-line according to the error between the state variable of the plant and the reference model. To the stator flux reconstruction the current model is used. It is shown that additional adaptive system in the speed control loop improve the properties of the drive for different drive conditions. The simulation results are verified in experimental tests.
Keywords :
adaptive control; angular velocity control; fuzzy control; induction motor drives; machine control; neurocontrollers; torque control; variable structure systems; MRAC structure; adaptive compensator; adaptive sliding-mode neuro-fuzzy compensator; adaptive system; direct torque control; fuzzy neural network; induction motor drive system; on-line tuning; reference model; sliding-mode PD fuzzy logic controller; speed control loop; state variable; stator flux reconstruction; trained on-line; Adaptation models; Adaptive systems; Stators; Torque; Torque control; Velocity control; DTC-SVM; NFC; adaptive system; induction motor; neuro fuzzy controller;
Conference_Titel :
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location :
Seville
DOI :
10.1109/ICIT.2015.7125182
