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


T. Geyer, G. Papafotiou

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

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.

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% 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},
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