Cascade-Free Modulated Predictive Direct Speed Control of PMSM Drives

Changming Zheng, Jiafeng Yang, Zheng Gong (), Ziyu Xiao and Xuanxuan Dong
Additional contact information
Changming Zheng: School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China
Jiafeng Yang: School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China
Zheng Gong: School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China
Ziyu Xiao: School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China
Xuanxuan Dong: School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China

Energies, 2022, vol. 15, issue 19, 1-13

Abstract: Conventional predictive control for permanent magnet synchronous motors (PMSMs) contains dual speed and current loops, and has a complex structure and multiple parameters to be tuned. Conventional predictive direct speed control (PDSC) exhibits an unsatisfactory steady-state performance. To tackle these issues, this paper presents a cascade-free modulated PDSC (MPDSC) scheme for PMSM drives. First, a speed predictive model is built, where a second-order sliding mode observer is employed to quickly and robustly estimate the load torque. Then, a dual objective cost function with speed and stator current tracking is designed, which improves the system’s steady-state performance. Furthermore, the analytical solution of the constrained optimal voltage vector is derived and it is synthesized by space vector modulation, resulting in a fixed switching frequency. Experimental results show that the proposed MPDSC has stronger robustness, and lower torque ripples and stator current harmonics compared to conventional PDSC.

Keywords: permanent magnet synchronous motor (PMSM); cascade-free; model predictive control (MPC); direct speed control; fixed switching frequency (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: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/19/7200/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/19/7200/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:19:p:7200-:d:930188

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().