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Energies 2018, 11(8), 2051; https://doi.org/10.3390/en11082051

Prediction Error Analysis of Finite-Control-Set Model Predictive Current Control for IPMSMs

1
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
2
State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China
*
Author to whom correspondence should be addressed.
Received: 12 May 2018 / Revised: 24 July 2018 / Accepted: 3 August 2018 / Published: 7 August 2018
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

Finite-control-set model predictive current control (FCS-MPCC) has been widely investigated in the field of motor control. When the discrete motor prediction model is not obtained accurately, prediction error often occurs, which can result in improper determinations of optimal voltage vectors and can further affect the control performance of motor systems. However, papers evaluating the motor control performance employing FCS-MPCC rarely consider prediction error and its utilization to weaken the influence of inaccurate prediction model. This paper investigates in depth the prediction error caused by three influencing factors from the perspective of model accuracy—discretization method, prediction stepsize, and parameter mismatch. Firstly, the evaluation index, prediction error, is defined and its formulas considering the above three factors are derived based on interior permanent magnet synchronous motor (IPMSM). Then, the theoretical analysis of prediction error is provided. Finally, experimental results of an IPMSM drive system are presented to verify and complement the theoretical analysis. Both the theoretical analysis and experimental results fully elaborate the prediction error, which can offer practical guidelines for the evaluation and improvement of motor control performance, especially for FCS-MPCC in IPMSM applications. View Full-Text
Keywords: finite-control-set model predictive current control (FCS-MPCC); prediction error; discretization method; prediction stepsize; parameter mismatch; interior permanent magnet synchronous motor (IPMSM) finite-control-set model predictive current control (FCS-MPCC); prediction error; discretization method; prediction stepsize; parameter mismatch; interior permanent magnet synchronous motor (IPMSM)
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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. (CC BY 4.0).
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Li, J.; Huang, X.; Niu, F.; You, C.; Wu, L.; Fang, Y. Prediction Error Analysis of Finite-Control-Set Model Predictive Current Control for IPMSMs. Energies 2018, 11, 2051.

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