Abstract
The paper deals with the utilization of Kalman filter and fuzzy logic control in induction motor drive with direct torque control (DTC). In order to lower ripple of stator current vector in DTC drive, pulse width modulation technique with high switching frequency is applied. However, the performance of the DTC also depends on the accuracy of both stator resistance and stator current vector. In the paper, the stator resistance and stator current components are assumed to be distorted by Gaussian noises. In order to reduce the effect of noises especially at low speed and very low speed regions, a simple Kalman filter is applied for filtering current components, and fuzzy logic theory is used to increase the flexibility of proportional-integral (PI) compensator in the speed controller of the drive structure. Simulations are implemented in conditions of high-level noises of stator current and stator resistance, and a wide range of load torque. An ITAE-based criterion is utilized to evaluate the performance of drive structures. Results confirmed the expected dynamic properties of the proposed drive structure. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.
Highlights
Conventional direct torque control (DTC) technique proposed in the 1980s [1]-[2] were implemented in high-performance applications of induction motor (IM) drives
This technique can be co-ranked with vector control (VC) technique introduced by Hasse and Blaschke [3]-[4], the control structures with DTC do not contain many complicated frame transformations, current regulators as those with VC [5]-[6]
Excitation, limitation of stator current, switching losses reduction, total harmonic distortion minimization for both two-level and three-level voltage source inverter (VSI) are guaranteed with Pulse-Width Modulation (PWM)-DTC [10, 11]
Summary
Conventional direct torque control (DTC) technique proposed in the 1980s [1]-[2] were implemented in high-performance applications of induction motor (IM) drives. In permanent magnet synchronous motor (PMSM) drive, an adaptive fuzzy logic-based duty cycle vector modulator and an extended Kalman estimator is combined to avoid extra usage of multiple mechanical sensors, reject external perturbations, reduce stator current harmonics and guarantee accurate prediction model in model predictive DTC [38]. Kalman lter is employed to smooth two components of stator current vector, and parameters of proportionalintegral (PI) controller are adjusted by fuzzy logic to cope with system uncertainty.
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