Combining SMC and MTPA Using an EKF to estimate parameters and states of an interior PMSM

Tanja Zwerger; Paolo Mercorelli

doi:10.1109/CarpathianCC.2019.8766063

Combining SMC and MTPA Using an EKF to estimate parameters and states of an interior PMSM

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

Combining SMC and MTPA Using an EKF to estimate parameters and states of an interior PMSM. / Zwerger, Tanja; Mercorelli, Paolo.

Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019. ed. / Andrzej Kot; Agata Nawrocka. IEEE - Institute of Electrical and Electronics Engineers Inc., 2019. 8766063 (Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Harvard

Zwerger, T & Mercorelli, P 2019, Combining SMC and MTPA Using an EKF to estimate parameters and states of an interior PMSM. in A Kot & A Nawrocka (eds), Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019., 8766063, Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019, IEEE - Institute of Electrical and Electronics Engineers Inc., 20st International Carpathian Control Conference - ICCC 2019, Kraków - Wieliczka, Poland, 26.05.19. https://doi.org/10.1109/CarpathianCC.2019.8766063

APA

Zwerger, T., & Mercorelli, P. (2019). Combining SMC and MTPA Using an EKF to estimate parameters and states of an interior PMSM. In A. Kot, & A. Nawrocka (Eds.), Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019 [8766063] (Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CarpathianCC.2019.8766063

Vancouver

Zwerger T, Mercorelli P. Combining SMC and MTPA Using an EKF to estimate parameters and states of an interior PMSM. In Kot A, Nawrocka A, editors, Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019. IEEE - Institute of Electrical and Electronics Engineers Inc. 2019. 8766063. (Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019). doi: 10.1109/CarpathianCC.2019.8766063

Bibtex

@inbook{bbce93a2330a43a4a9f6f2b07118d740,

title = "Combining SMC and MTPA Using an EKF to estimate parameters and states of an interior PMSM",

abstract = "This paper deals with an Extended Kalman Filter (EKF), which allows the estimation of nonlinear values of the permanent magnet synchronous machine (PMSM). A Sliding Mode Control (SMC) in an internal loop controls the optimal current with the estimated values of the EKF. The desired currents are calculated by a Maximum Torque Per Ampere (MTPA) strategy which works in the external loop of control.",

keywords = "Extended Kalman Filter, MTPA, PMSMs, Sliding Mode Control Methods, Engineering",

author = "Tanja Zwerger and Paolo Mercorelli",

year = "2019",

month = may,

day = "1",

doi = "10.1109/CarpathianCC.2019.8766063",

language = "English",

series = "Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

editor = "Andrzej Kot and Agata Nawrocka",

booktitle = "Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019",

address = "United States",

note = "20st International Carpathian Control Conference - ICCC 2019, ICCC ; Conference date: 26-05-2019 Through 29-05-2019",

url = "https://iccc.agh.edu.pl/",

}

RIS

TY - CHAP

T1 - Combining SMC and MTPA Using an EKF to estimate parameters and states of an interior PMSM

AU - Zwerger, Tanja

AU - Mercorelli, Paolo

N1 - Conference code: 20

PY - 2019/5/1

Y1 - 2019/5/1

N2 - This paper deals with an Extended Kalman Filter (EKF), which allows the estimation of nonlinear values of the permanent magnet synchronous machine (PMSM). A Sliding Mode Control (SMC) in an internal loop controls the optimal current with the estimated values of the EKF. The desired currents are calculated by a Maximum Torque Per Ampere (MTPA) strategy which works in the external loop of control.

AB - This paper deals with an Extended Kalman Filter (EKF), which allows the estimation of nonlinear values of the permanent magnet synchronous machine (PMSM). A Sliding Mode Control (SMC) in an internal loop controls the optimal current with the estimated values of the EKF. The desired currents are calculated by a Maximum Torque Per Ampere (MTPA) strategy which works in the external loop of control.

KW - Extended Kalman Filter

KW - MTPA

KW - PMSMs

KW - Sliding Mode Control Methods

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85069825938&partnerID=8YFLogxK

U2 - 10.1109/CarpathianCC.2019.8766063

DO - 10.1109/CarpathianCC.2019.8766063

M3 - Article in conference proceedings

T3 - Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019

BT - Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019

A2 - Kot, Andrzej

A2 - Nawrocka, Agata

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 20st International Carpathian Control Conference - ICCC 2019

Y2 - 26 May 2019 through 29 May 2019

ER -

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