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 -