Article
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Preserved in Portico This version is not peer-reviewed
Field Oriented Predictive Control Structure for Synchronous Reluctance Motors
Version 1
: Received: 15 May 2023 / Approved: 16 May 2023 / Online: 16 May 2023 (05:13:15 CEST)
A peer-reviewed article of this Preprint also exists.
Costin, M.; Lazar, C. Field-Oriented Predictive Control Structure for Synchronous Reluctance Motors. Machines 2023, 11, 682. Costin, M.; Lazar, C. Field-Oriented Predictive Control Structure for Synchronous Reluctance Motors. Machines 2023, 11, 682.
Abstract
This paper presents a cascade predictive control structure based on the field-oriented control (FOC) in the dq rotor reference frame for the synchronous reluctance machine (SynRM). The constant d-axis current control strategy was used and thus, the electromagnetic torque was directly controlled by the q-axis current. Because the model of the two axes currents from the inner loop is a coupled non-linear multivariable one, to non-interaction linear control the two currents, their decoupling was achieved through feedforward components. Following the decoupling, two independent monovariable linear systems resulted for the two currents dynamics that were controlled using model predictive control (MPC) algorithms, considering their ability to automatically handle the state bounds. The most important bounds for SynRM are the limits imposed on currents and voltages, which in the dq plane correspond to a circular limit. To avoid computational effort, linear limitations were adopted through polygonal approximations, resulting in rectangular regions in the dq plane. For the outer loop that controls the angular speed with a constrained MPC algorithm, as plant was considered the q-axis current closed loop dynamics and the torque linear equation. To evaluate the performances of the proposed cascade predictive control structure, a simulation study using MPC controllers versus PI ones was conducted.
Keywords
synchronous reluctance machine; model predictive control; field orientation control; linear constraints; quadratic programming
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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