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FPGA-Based Continuous Control Set Model Predictive Current Control for PMSM System Using Multistep Error Tracking Technique
Indexado
WoS WOS:000557436900079
Scopus SCOPUS_ID:85089702241
DOI 10.1109/TPEL.2020.2984336
Año 2020
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



To overcome the shortcomings of the conventional continuous control set model predictive current control (CCS-MPCC), such as large overshoot and poor robustness, an extended surface-mounted permanent magnet synchronous motor (SPMSM) model-based multistep error tracking CCS-MPCC (MSET-CCSMPCC) is proposed in this article. First, a traditional CCS-MPCC is derived based on the conventional SPMSM model and its robustness is analyzed by considering the parameter mismatches. Second, an extended SPMSM model is given by incorporating the lumped disturbances into one disturbance part. Third, a sliding mode differentiator improved fast terminal sliding mode disturbance observer is designed to track the disturbances. Fourth, by compensating the extended SPMSM model for the estimated d- and q-axes disturbances, an extended SPMSM model-based CCS-MPCC (EXM-CCSMPCC) is designed. However, the EXM-CCSMPCC has serious step response overshoot. Fifth, an extended SPMSM model-based single step error tracking CCS-MPCC is presented, whose dynamic response and steady-state performances deteriorate when the overshoot is reduced. Finally, an MSET-CCSMPCC is proposed to reduce the overshoot and improve the robustness while maintaining excellent dynamic and steady-state performances. Experiments are implemented on a field-programmable gate array based hardware system to verify the excellent performances of the proposed method.

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Disciplinas de Investigación



WOS
Engineering, Electrical & Electronic
Scopus
Electrical And Electronic Engineering
SciELO
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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Wang, Fengxiang - Chinese Academy of Sciences - China
CASSACA - China
2 He, Long Hombre Chinese Academy of Sciences - China
CASSACA - China
3 RODRIGUEZ-PEREZ, JOSE RAMON Hombre Universidad Nacional Andrés Bello - Chile

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Financiamiento



Fuente
National Natural Science Funds of China
Science and Technology Program of Fujian Province
ANID
NationalNatural Science Funds of China

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
Manuscript received June 25, 2019; revised November 22, 2019; accepted March 24, 2020. Date of publication April 1, 2020; date of current version July 31, 2020. This work was supported in part by the National Natural Science Funds of China under Grant 51877207, in part by the Science and Technology Program of Fujian Province under Grants 2019T3021 and 2018T3015, and in part by ANID through Projects FB0008, ACT192013, and 1170167. Recommended for publication by Associate Editor R. Kennel. (Corresponding author: Long He.) Fengxiang Wang and Long He are with the Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang 362200, China (e-mail: fengxiang.wang@fjirsm.ac.cn; long.he@fjirsm.ac.cn).
Thisworkwas supported in part by theNationalNatural Science Funds of China under Grant 51877207, in part by the Science and Technology Program of Fujian Province under Grants 2019T3021 and 2018T3015, and in part by ANID through Projects FB0008, ACT192013, and 1170167. Recommended for publication by Associate Editor R. Kennel.

Muestra la fuente de financiamiento declarada en la publicación.