Skip to main content
Article
Predictive Torque Control of an Induction Motor Fed by a Bidirectional Quasi Z-Source Inverter
39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 (2013)
  • Omar Ellabban, Dr., Helwan University
  • Haitham Abu-Rub, Prof.
  • José Rodríguez, Prof.
Abstract

In this paper, a predictive torque control (PTC) algorithm is introduced for controlling an induction motor (IM) fed by a bidirectional quasi Z-source inverter (BQZSI). A torque, stator flux and capacitor voltage magnitudes control algorithm evaluates a cost function, based on a simple discrete models of the IM and the BQZSI, for each BQZSI available switching state. The voltage vector with the lowest torque, a stator flux and capacitor voltage magnitude errors is selected to be applied in the next sampling interval. The proposed PTC algorithm, with its single structure, can control both sides of the BQZSI to optimize the motor performance with an extremely simple and versatile control algorithm and without any dynamic response limitation caused by the cascaded control structure. A high degree of flexibility is obtained with the proposed control technique due its online optimization algorithm. This paper proposed a new adjustable speed drive system based on a three-phase BQZSI feeding an induction motor. Where, the interesting advantages of the PTC algorithm are combined by the advantages of one of the most interesting power electronics converters, the BQZSI. Simulation results for a 4 kW IM are presented to validate the new proposed electrical drive system.

Keywords
  • Quasi-Z-source Inverter (QZSI); Predictive Torque Control (PTC); Variable speed drives (VSD).
Publication Date
November 10, 2013
Publisher Statement
IEEE
Citation Information
Omar Ellabban, Haitham Abu-Rub and José Rodríguez. "Predictive Torque Control of an Induction Motor Fed by a Bidirectional Quasi Z-Source Inverter" 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 (2013)
Available at: http://works.bepress.com/omar_ellabban/32/