Model predictive control for synchronous reluctance motor drive | IEEE Conference Publication | IEEE Xplore

Model predictive control for synchronous reluctance motor drive


Abstract:

In this paper a Model Predictive Control (MPC) was applied to the flux and torque control of a Synchronous Reluctance Motor, SynRM. The behavior of the controller was ana...Show More

Abstract:

In this paper a Model Predictive Control (MPC) was applied to the flux and torque control of a Synchronous Reluctance Motor, SynRM. The behavior of the controller was analyzed based on model's simulations performed in Matlab/Simulink Software. From the results, it was verified that the controller has good performance. The SynRM can reach the speed reference value controlling simultaneously flux and torque.
Date of Conference: 18-20 October 2017
Date Added to IEEE Xplore: 21 December 2017
ISBN Information:
Conference Location: Pucon, Chile
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I. Introduction

Model predictive control (MPC) is an advanced control technique that has been successfully applied in industrial applications. However, the use of MPC in systems with small time constants, as power electronics converters and drives, is rather recent due to the development of fast and powerful Digital Signal Processors (DSP) [1]–[3].

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