Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Direct Torque Control for Induction Motor Drives: A Model Predictive Control Approach based on Feasibility

Author(s):

T. Geyer, G. Papafotiou
Conference/Journal:

Hybrid Systems: Computation and Control, vol. 3414, M. Morari and L. Thiele (Eds.), Lecture Notes in Computer Science, pp. 274-290
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.

Further Information
Year:

2005
Type of Publication:

(01)Article
Supervisor:



File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@Article { GeyPap:2005:IFA_2035,
    author={T. Geyer and G. Papafotiou},
    title={{Direct Torque Control for Induction Motor Drives: A Model
	  Predictive Control Approach based on Feasibility}},
    journal={Hybrid Systems: Computation and Control},
    year={2005},
    volume={3414},
    number={},
    pages={},
    month=mar,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=2035}
}
Permanent link