Compensation Strategy of PMSM Predictive Control with Reduced Parameter Disturbance

Shuhua Fang, Jing Meng, Wei Wang, Yao Meng (), Yicheng Wang and Demin Huang
Additional contact information
Shuhua Fang: School of the Electrical Engineering, Southeast University Nanjing, Nanjing 210096, China
Jing Meng: School of the Electrical Engineering, Southeast University Nanjing, Nanjing 210096, China
Wei Wang: NR Electric Co., Ltd., Nanjing 211102, China
Yao Meng: School of the Electrical Engineering, Southeast University Nanjing, Nanjing 210096, China
Yicheng Wang: School of the Electrical Engineering, Southeast University Nanjing, Nanjing 210096, China
Demin Huang: School of the Electrical Engineering, Southeast University Nanjing, Nanjing 210096, China

Sustainability, 2022, vol. 14, issue 16, 1-18

Abstract: This paper proposes a double closed-loop predictive control scheme for a permanent-magnet synchronous motor system, which consists of a speed loop model predictive control and a current loop deadbeat predictive control, current loop and speed loop adopt different predictive control methods, compensate the unstable switching frequency, and reduce the amount of calculation. Considering the influence of parameter mismatch on the control performance, a parameter disturbance sliding mode observer and a parameter disturbance internal mode observer are designed to compare the compensation ability of the two observers for current tracking errors, which improves the disturbance rejection ability and robustness of the system, and the compensation ability of the internal mode observer is better. The simulated and experimental results show that the improved strategy and predictive control method proposed in this paper can obtain better speed tracking performance compared with traditional control, which verify the effectiveness and feasibility of the proposed control scheme on a servo control system.

Keywords: deadbeat predictive control; model predictive control; permanent magnet synchronous motor; observer (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/16/9868/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/16/9868/ (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:jsusta:v:14:y:2022:i:16:p:9868-:d:884676

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

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