TY - GEN
T1 - Performance evaluation of DTC im drive for an EV application
AU - Reddy, C. Upendra
AU - Prabhakar, Kashyap Kumar
AU - Singh, Amit Kumar
AU - Kumar, Praveen
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/1/29
Y1 - 2018/1/29
N2 - The recent research study shows that an induction motor drive is a suitable candidate for an electric vehicle application. The direct torque control of induction machine is preferred due to its simplicity and fast torque response. However, the direct torque control strategy suffers from large torque ripple. Hysteresis band width and reference flux linkage value are the factors that affects the torque ripple. In this paper, the drive performance is analyzed with/without adaptive hysteresis band and with constant/variable reference flux linkage value. The drive performance indices are the torque ripple, total harmonic distortion (THD) and switching frequency are experimentally investigated. The experimental analysis shows that the drive performance is improved with adaptive hysteresis band and variable reference flux linkage.
AB - The recent research study shows that an induction motor drive is a suitable candidate for an electric vehicle application. The direct torque control of induction machine is preferred due to its simplicity and fast torque response. However, the direct torque control strategy suffers from large torque ripple. Hysteresis band width and reference flux linkage value are the factors that affects the torque ripple. In this paper, the drive performance is analyzed with/without adaptive hysteresis band and with constant/variable reference flux linkage value. The drive performance indices are the torque ripple, total harmonic distortion (THD) and switching frequency are experimentally investigated. The experimental analysis shows that the drive performance is improved with adaptive hysteresis band and variable reference flux linkage.
KW - Direct torque control
KW - Flux estimator
KW - Torque ripple
KW - Variable switching frequency
UR - http://www.scopus.com/inward/record.url?scp=85046369000&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2017.8273754
DO - 10.1109/PESGM.2017.8273754
M3 - Conference contribution
AN - SCOPUS:85046369000
T3 - IEEE Power and Energy Society General Meeting
SP - 1
EP - 5
BT - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PB - IEEE Computer Society
T2 - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Y2 - 16 July 2017 through 20 July 2017
ER -