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

Jian Li, Xiaoyan Huang, Feng Niu, Chaojie You, Lijian Wu and Youtong Fang
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Jian Li: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Xiaoyan Huang: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Feng Niu: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Chaojie You: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Lijian Wu: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Youtong Fang: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Energies, 2018, vol. 11, issue 8, 1-16

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.

Keywords: finite-control-set model predictive current control (FCS-MPCC); prediction error; discretization method; prediction stepsize; parameter mismatch; interior permanent magnet synchronous motor (IPMSM) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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