Abstract
The direct torque control (DTC) is one of the actively researched control schemes of induction machines (IMs), which is based on the decoupled control of stator flux and electromagnetic torque. The traditional twelve sectors DTC control scheme of IM drive using hysteresis comparators and switching table has considerable electromagnetic torque ripple, stator flux ripple and harmonic distortion of voltage/current for IM drive. In order to ensure a robust twelve sectors DTC control scheme and minimize the harmonic distortion of stator current, a novel switching tables of twelve sectors DTC control scheme with the application of the artificial intelligence technique (artificial neural networks (ANNs)). The electromagnetic torque, stator flux and harmonic distortion of stator current are determined and compared with the traditional twelve sectors DTC control scheme. The simulation of the proposed switching tables were carried out in Matlab/Simulink software. A comparative study of the proposed switching tables is also presented to illustrate the merits of each of the switching table on the performance of the twelve sectors DTC control scheme.
Highlights
The recent years, induction machines (IMs) have for most industrial low to high speed application due to their reliability, affordable price, the rugged construction and efficiency in comparison with DC motors which suffer from the drawbacks of the brushescollector, corrosion and necessity of maintenance
Even the IM is possible for high precision torque and speed control through highly preserved control technique [1]
The reference frame related to the stator makes possible to estimate flux and torque on the one hand and the position of stator flux on the other hand
Summary
The recent years, IMs have for most industrial low to high speed application due to their reliability, affordable price, the rugged construction and efficiency in comparison with DC motors which suffer from the drawbacks of the brushescollector, corrosion and necessity of maintenance. There are two most common as drives control schemes that are being widely researched One of it is field oriented control (FOC) which was proposed by F. FOC makes decoupling of stator current to produce independent control of torque and flux. Instead of FOC, DTC directly controls stator flux and electromagnetic torque without depending on parameter variation [5]. The DTC technique presents the disadvantage of large stator flux and torque ripples. This has opened a new and interesting area for academic research and industrial applications for nonlinear control techniques [6]. Machine Drive Using Artificial Neural Networks proper selection of optimum inverter switching states in accordance with the torque and flux errors [8]. The angle between the referential and Φ s is equal to [12]:
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