A Comparative Study of Predictive Current Control Schemes for a Permanent-Magnet Synchronous Machine Drive

Morel, Florent; Lin-Shi, Xuefang; Rétif, Jean-Marie; Allard, Bruno; Buttay, Cyril

doi:10.1109/tie.2009.2018429

Cited by 352 publications

(144 citation statements)

References 39 publications

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“…The current responses of DBCC to rectangular current references below and above voltage limitation 16 are shown in Fig.7bc. In both cases, the rectangular current references are generated by the id current loop.…”

Section: Two Steps Prediction and Operating At Physical Limitmentioning

confidence: 99%

“…Alongside the variety of DBCC schemes proposed for power electronics and drives, comparative studies against classical methods and the different types of DBCC have also been presented in [15][16][17]. It is 2 recognised in scientific literature that a current control loop with DBCC has potential to have higher bandwidth compared with a current loop using traditional PI current regulators.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced DBCC for high‐speed permanent magnet synchronous motor drives

Tang

Gaeta²,

Formentini

et al. 2016

IET Power Electronics

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High bandwidth and accuracy of the current control loop are fundamental requisites when a fast torque response is required or for facilitating the reduction of torque ripple in high performance drives, especially at high speed. One of the most suitable control methods to achieve these goals is dead beat current control (DBCC). Many types of DBCC have been proposed and implemented in literature. This paper proposes a DBCC incorporating two new functionalities. One is a two steps current prediction to improve prediction accuracy when current measurements are taken place before each sampling period; and particularly to reduce the overshoot during transients when mean value is used as current feedback. The second is a novel compensation method for the rotor movement to eliminate offset errors which occur at high speed. Moreover, the dynamic and steady state performance of the proposed DBCC is assessed in simulations. On the basis of the simulation tests, the control parameters are tuned for experiments and the performance of the proposed functionalities are verified. Finally, the advantage of DBCC, compared with a classical dq PI current regulator, is verified in experiments.

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Section: Two Steps Prediction and Operating At Physical Limitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced DBCC for high‐speed permanent magnet synchronous motor drives

Tang

Gaeta²,

Formentini

et al. 2016

IET Power Electronics

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show abstract

“…MPC methods presented in literature can be categorized in two categories: deadbeat control, and FCS-MPC [14]. Regarding deadbeat control method, a machine model is used to calculate the reference voltages, so that motor phase current is able to follow the reference current [15], [16]. Predictive deadbeat control is used in [17] to implement FT control of a five-phase BLDC machine under healthy and faulty conditions; a sensitivity analysis has been done on the control method.…”

Section: Introductionmentioning

confidence: 99%

Simplified fault tolerant finite control set model predictive control of a five-phase inverter supplying BLDC motor in electric vehicle drive

Salehifar

Moreno-Eguilaz²,

Putrus

et al. 2016

Electric Power Systems Research

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Northumbria University has developed Northumbria Research Link (NRL) to enable users to access the University's research output. Copyright © and moral rights for items on NRL are retained by the individual author(s) and/or other copyright owners. Single copies of full items can be reproduced, displayed or performed, and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided the authors, title and full bibliographic details are given, as well as a hyperlink and/or URL to the original metadata page. The content must not be changed in any way. Full items must not be sold commercially in any format or medium without formal permission of the copyright holder. The full policy is available online: http://nrl.northumbria.ac.uk/policies.html This document may differ from the final, published version of the research and has been made available online in accordance with publisher policies. To read and/or cite from the published version of the research, please visit the publisher's website (a subscription may be required.) Abstract -Multiphase brushless direct current (BLDC) motors can meet the increasing demand for higher reliability in motor drives applicable in electric vehicles by integrating fault diagnosis to a faulttolerant (FT) control method. To achieve this goal, a modified FT finite control set model predictive control (FCS-MPC) is proposed in this paper. The dead beat control is used to predict the reference voltage applied by the inverter. A sensitivity analysis is done to show the effect of model uncertainty on the controller performance. In addition, a simple, fast and general open switch and short circuit fault detection (FD) method in voltage source inverter (VSI) is presented. The FD method is capable of detecting open switch, open phase, and short circuit faults without any auxiliary variable. Moreover, it is robust to both speed and load transients in a motor drive. To validate the presented theory, experimental results are conducted on a five-phase BLDC motor drive with outer rotor in wheel structure.

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“…Predictive current controls can be divided into (at least) three classes, namely, direct predictive control (DPC), two-configuration predictive control (2PC), and pulse-width modulation (PWM) predictive control (PPC) [13]. DPC selects a voltage vector that minimizes a cost function and directly applies it to the inverter.…”

Section: Introductionmentioning

confidence: 99%

Model Parameter Correction Algorithm for Predictive Current Control of SMPMSM

Li¹,

Wang²,

Ji³

et al. 2016

Journal of Power Electronics

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The inaccurate model parameters in the predictive current control of surface-mounted permanent magnet synchronous motor (SMPMSM) affect the current dynamic response and steady-state error. This paper presents a model parameter correction algorithm based on the relationship between the errors of model parameters and the static errors of dq-axis current. In this correction algorithm, the errors of inductance and flux are corrected in two steps. Resistance is ignored. First, the proportional relations between inductance and d-axis static current errors are utilized to correct the error of model inductance. Second, the flux is corrected by utilizing the proportional relations between flux and q-axis static current errors under the condition that inductance is corrected. An experimental study with a 100 W SMPMSM is performed to validate the proposed algorithm.

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A Comparative Study of Predictive Current Control Schemes for a Permanent-Magnet Synchronous Machine Drive

Cited by 352 publications

References 39 publications

Enhanced DBCC for high‐speed permanent magnet synchronous motor drives

Enhanced DBCC for high‐speed permanent magnet synchronous motor drives

Simplified fault tolerant finite control set model predictive control of a five-phase inverter supplying BLDC motor in electric vehicle drive

Model Parameter Correction Algorithm for Predictive Current Control of SMPMSM

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