Robust Nonlinear Predictive Current Control Techniques for PMSM

Mingcheng Lyu, Gongping Wu, Derong Luo, Fei Rong and Shoudao Huang
Additional contact information
Mingcheng Lyu: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Gongping Wu: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Derong Luo: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Fei Rong: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Shoudao Huang: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Energies, 2019, vol. 12, issue 3, 1-19

Abstract: This paper proposes a robust nonlinear predictive current control (RNPCC) method for permanent magnet synchronous motor (PMSM) drives, which can optimize the current control loop performance of the PMSM system with model parameter perturbation. First, the disturbance caused by parameter perturbation was considered in the modeling of PMSM. Based on this model, the influence of parameter perturbation on the conventional predictive current control (PCC) was analyzed. The composite integral terminal sliding mode observer (SMO) was then designed to estimate the disturbance caused by the parameter perturbation in real time. Finally, a RNPCC method is developed without relying on the mathematical model of PMSM, which can effectively eliminate the influence of parameter perturbation by injecting the estimated disturbance value. Simulations and experiments verified that the proposed RNPCC method was able to remove the current error caused by the parameter perturbation during steady state operation.

Keywords: permanent magnet synchronous motor (PMSM); sliding mode observer (SMO); parameter perturbation; predictive current control (PCC) (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/3/443/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/3/443/ (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:12:y:2019:i:3:p:443-:d:202086

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 ().