A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems

Cheng-Kai Lin, Jen-te Yu, Hao-Qun Huang, Jyun-Ting Wang, Hsing-Cheng Yu and Yen-Shin Lai
Additional contact information
Cheng-Kai Lin: Department of Electrical Engineering, National Taiwan Ocean University, Keelung 202, Taiwan
Jen-te Yu: Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 320, Taiwan
Hao-Qun Huang: Department of Electrical Engineering, National Taiwan Ocean University, Keelung 202, Taiwan
Jyun-Ting Wang: Department of Electrical Engineering, National Taiwan Ocean University, Keelung 202, Taiwan
Hsing-Cheng Yu: Department of Systems Engineering and Naval Architecture, National Taiwan Ocean University, Keelung 202, Taiwan
Yen-Shin Lai: Department of Electrical Engineering, National Taipei University of Technology, Taipei 106, Taiwan

Energies, 2018, vol. 11, issue 7, 1-29

Abstract: For current control in power conversion and motor drive systems, there exist three classic methods in the literature and they are the hysteresis current control (HCC), the sine pulse-width modulation (SPWM), and the space vector pulse width modulation (SVPWM). HCC is easy to implement, but has relatively large current harmonic distortion as the disadvantage. On the other hand, the SPWM and SVPWM use modulation technique, commonly together with at least one proportional-integral (PI) regulator to reduce load current ripples, and hence demanding more computation time. This paper aims to improve the performance of a recently proposed new current control method—the single-voltage-vector model predictive current control (SVV-MPCC), for synchronous reluctance motor (SynRMs) drives. To that end, a dual-voltage-vector model-free predictive current control (DVV-MFPCC) for SynRMs is proposed. Unlike the SVV-MPCC that applies only a single voltage vector per sampling period, the proposed DVV-MFPCC is capable of providing two successive segmentary current predictions in the next sampling period through all possible combinations from any two candidate switching states increasing the number of applicable switching modes from seven to nineteen and reducing the prediction error effectively. Moreover, the new control does not utilize any parameters of the SynRM nor its mathematical model. The performance is effectively enhanced compared to that of SVV-MPCC. The working principle of the DVV-MFPCC will be detailed in this paper. Finally, the SVV-MPCC, the single-voltage-vector model-free predictive current control (SVV-MFPCC), the dual-voltage-vector model predictive current control (DVV-MPCC), and the DVV-MFPCC are realized to control the stator currents of SynRM through a 32-bit microcontroller TMS320F28377S. Experimental results are provided to validate the new method and verify that the DVV-MFPCC performs better than do the SVV-MPCC, the SVV-MFPCC, and the DVV-MPCC.

Keywords: predictive current control; synchronous reluctance motor; voltage source inverter (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 (3)

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