Improved Finite-Control-Set Model Predictive Control With Virtual Vectors for PMSHM Drives

Finite-control-set model predictive current control (FCS-MPCC) always has large steady-state fluctuation and computational burden. In this paper, a novel FCS-MPCC without a modulator to drive permanent magnet synchronous hub motors (PMSHMs), which combines virtual vectors expansion scheme and duty c...

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Published inIEEE transactions on energy conversion Vol. 37; no. 3; pp. 1885 - 1894
Main Authors Sun, Xiaodong, Li, Teng, Yao, Ming, Lei, Gang, Guo, Youguang, Zhu, Jianguo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Aerospace electronics
Cost function
duty cycle
Dynamic response
Electric potential
Mathematical models
Model predictive control
Modulation
permanent magnet synchronous hub motor
Permanent magnets
Predictive control
Steady state
Vehicle dynamics
virtual vectors
Voltage
Voltage control
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Abstract Finite-control-set model predictive current control (FCS-MPCC) always has large steady-state fluctuation and computational burden. In this paper, a novel FCS-MPCC without a modulator to drive permanent magnet synchronous hub motors (PMSHMs), which combines virtual vectors expansion scheme and duty cycle control was proposed. The lack of a modulator reduces the complexity of the control system. The virtual vectors are synthesized by using active vectors, which improve the accuracy of voltage selection, and further improve PMSHM's steady-state performance and reduce current harmonics. The duty cycle control uses a zero vector to obtain better steady-state performance. However, the duty cycle of the virtual vectors is limited by the synthesis method, and further analysis is needed. A new calculation process is proposed to reduce the amount of calculation. The deadbeat principle is used to get reference voltage which determines sectors. Then, the best voltage vector in the selected sector is determined by the predetermined cost function. The traditional MPCC and the duty cycle MPCC (DCMPCC) are used as a comparison item to compare with the proposed method to illustrate its effectiveness. Results confirm that improved MPCC has good steady-state performance while maintaining a fast dynamic response.
AbstractList Finite-control-set model predictive current control (FCS-MPCC) always has large steady-state fluctuation and computational burden. In this paper, a novel FCS-MPCC without a modulator to drive permanent magnet synchronous hub motors (PMSHMs), which combines virtual vectors expansion scheme and duty cycle control was proposed. The lack of a modulator reduces the complexity of the control system. The virtual vectors are synthesized by using active vectors, which improve the accuracy of voltage selection, and further improve PMSHM's steady-state performance and reduce current harmonics. The duty cycle control uses a zero vector to obtain better steady-state performance. However, the duty cycle of the virtual vectors is limited by the synthesis method, and further analysis is needed. A new calculation process is proposed to reduce the amount of calculation. The deadbeat principle is used to get reference voltage which determines sectors. Then, the best voltage vector in the selected sector is determined by the predetermined cost function. The traditional MPCC and the duty cycle MPCC (DCMPCC) are used as a comparison item to compare with the proposed method to illustrate its effectiveness. Results confirm that improved MPCC has good steady-state performance while maintaining a fast dynamic response.
Author Zhu, Jianguo
Lei, Gang
Guo, Youguang
Li, Teng
Yao, Ming
Sun, Xiaodong
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Snippet Finite-control-set model predictive current control (FCS-MPCC) always has large steady-state fluctuation and computational burden. In this paper, a novel...
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SubjectTerms Aerospace electronics
Cost function
duty cycle
Dynamic response
Electric potential
Mathematical models
Model predictive control
Modulation
permanent magnet synchronous hub motor
Permanent magnets
Predictive control
Steady state
Vehicle dynamics
virtual vectors
Voltage
Voltage control
Title Improved Finite-Control-Set Model Predictive Control With Virtual Vectors for PMSHM Drives
URI https://ieeexplore.ieee.org/document/9664228
https://www.proquest.com/docview/2704095410
Volume 37
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