Dual-model predictive control of two independent induction motors driven by a SiC nine-switch inverter

• Published in: International journal of electronics Vol. 110; no. 1; pp. 124 - 142
• Main Authors: Gokdag, Mustafa, Gulbudak, Ozan
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.01.2023; Taylor & Francis LLC
• Subjects: Algorithms; Control algorithms; Control methods; Control theory; Field programmable gate arrays; field-programmable gate array; indirect field-oriented control; Induction motors; Inverters; multi-drive systems; multi-machines model predictive control; Nine-switch inverter; Predictive control; Robust control; Silicon carbide; Torque
• ISSN: 0020-7217; 1362-3060
• DOI: 10.1080/00207217.2021.2007545

This paper presents a finite control set model predictive control (FCS-MPC) approach for two induction machines driven by a nine-switch inverter (NSI). In the traditional approach, two separate voltage source inverters are necessary to drive the independent induction motors. In the proposed method, the nine-switch inverter is used to control the separate motors with a reduced number of switching devices compared to traditional method. A robust control strategy that eliminates the interactions between separate mechanical loads is required to achieve a proper independent speed and torque control for two induction machines through the NSI. To ensure the reliability of the machine operation, the indirect-field oriented control-based model predictive control strategy is proposed. The proposed control strategy is experimentally validated across the 3.2 kW SiC-based NSI prototype. The control algorithm is performed on an Altera Cyclone IV Field-programmable gate array. The experimental results demonstrate that the proposed dual-model predictive control method provides a good and robust motor control operation under different loading conditions. Two induction motors are successfully controlled, and the independent speed and torque control are achieved.