Direct torque control for induction motor drives: a model predictive control approach based on feasibility

  • Authors:

  • Tobias Geyer;Georgios Papafotiou

  • Affiliations:

  • Automatic Control Laboratory, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland;Automatic Control Laboratory, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland

  • Venue:
  • HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
  • Year:
  • 2005

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Abstract

In this paper, we present a new approach to the Direct Torque Control (DTC) problem of three-phase induction motor drives. This approach is based on Model Predictive Control (MPC) exploiting the specific structure of the DTC problem and using a systematic design procedure. Specifically, by observing that the DTC objectives, which require the controlled variables to remain within certain bounds, are related to feasibility rather than optimality, and by using a blocking control inputs regime for the whole prediction horizon we derive a low complexity controller. The derived controller is an explicit state-feedback control law that can be implemented as a look-up table. Even though the controller is derived here for a DTC drive featuring a two-level inverter, the control scheme can be extended to also tackle three-level inverters. Simulation results demonstrate that the proposed controller leads to performance improvements despite its simple structure.