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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Geyer, T., & Papafotiou, G. (2005). Direct Torque Control for induction motor drives: A Model Predictive Control approach based on feasibility. In Lecture Notes in Computer Science (Vol. 3414, pp. 274–290). Springer Verlag. https://doi.org/10.1007/978-3-540-31954-2_18
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