Predictive Torque Control of an Induction Machine - Voltage Source Inverter System

Rivera, Marco; Riveros, Jose A.; Wheeler, Patrick

Abstract

Predictive control techniques have emerged as a suitable solution for the control of motor drive systems. In this paper, a predictive control strategy for the flux and torque control of an induction machine fed by a voltage source inverter is presented. The algorithm selects an available commutation state for the converter which minimizes a cost function, and this state is applied in the next sampling time. Simulated results from Matlab/Simulink demonstrate the feasibility of the strategy showing a good tracking of the variables to their respective references and sinusoidal motor stator currents.

Citation

Rivera, M., Riveros, J. A., & Wheeler, P. (2021, August). Predictive Torque Control of an Induction Machine - Voltage Source Inverter System. Presented at 2021 IEEE PES/IAS PowerAfrica, Nairobi, Kenya

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2021 IEEE PES/IAS PowerAfrica
• Start Date: Aug 23, 2021
• End Date: Aug 27, 2021
• Acceptance Date: Jun 18, 2021
• Online Publication Date: Sep 28, 2021
• Publication Date: Aug 23, 2021
• Deposit Date: Mar 2, 2022
• Series Title: IEEE PES/IAS PowerAfrica
• Book Title: 2021 IEEE PES/IAS PowerAfrica
• ISBN: 9781665431422
• DOI: https://doi.org/10.1109/powerafrica52236.2021.9543164
• Public URL: https://nottingham-repository.worktribe.com/output/7532611
• Publisher URL: https://ieeexplore.ieee.org/document/9543164