Speed Regulator and Hysteresis Based on Artificial Intelligence Techniques of Three-Level DTC for Induction Motor

• Main Authors: Habib BENBOUHENNI, Zinelaabidine BOUDJEMA
• Format: Article
• Language: English
• Published: Technical University of Kosice 2017-12-01
• Series: Acta Electrotechnica et Informatica
• Subjects: induction motor; DTC; fuzzy-PI; hysteresis regulators; three-level inverter; artificial intelligence techniques
• Online Access: http://www.aei.tuke.sk/papers/2017/4/08_Benbouhenni.pdf

Direct torque control (DTC) of induction motor (IM) is important in many applications. In this paper presents a three-level direct torque control is applied for IM using fuzzy-PI controller and hysteresis regulators based on artificial intelligence techniques. The DTC system is known to offer fast decoupled control between torque and flux via a simple control structure. Nevertheless, DTC system has two major drawbacks, with are the variable inverter switching frequency and high torque output ripple. The validity of the proposed control scheme is verified by simulation tests. The stator flux, torque, and current are determined and compared to the above technique.