TY - JOUR
T1 - Encoderless finite-state predictive torque control for induction machine with a compensated MRAS
AU - Wang, Fengxiang
AU - Chen, Zhe
AU - Stolze, Peter
AU - Stumper, Jean Francois
AU - Rodriguez, José
AU - Kennel, Ralph
PY - 2014/5
Y1 - 2014/5
N2 - An encoderless predictive torque control (PTC) is proposed in this paper. By using a rotor flux model reference adaptive system (MRAS) estimation method to PTC, the system has the virtue of low cost due to the absence of PWM and speed measurement components. PTC requires not only estimated speed but also estimated stator and rotor flux. In implementation, a compensated MRAS is considered for obtaining good flux estimations. The experimental results confirm that this control strategy has very fast dynamics, can adapt a very wide speed range, and shows good performance both at transient and steady states.
AB - An encoderless predictive torque control (PTC) is proposed in this paper. By using a rotor flux model reference adaptive system (MRAS) estimation method to PTC, the system has the virtue of low cost due to the absence of PWM and speed measurement components. PTC requires not only estimated speed but also estimated stator and rotor flux. In implementation, a compensated MRAS is considered for obtaining good flux estimations. The experimental results confirm that this control strategy has very fast dynamics, can adapt a very wide speed range, and shows good performance both at transient and steady states.
KW - Induction machine
KW - Sensorless application
KW - model reference adaptive system (MRAS)
KW - predictive torque control (PTC)
UR - http://www.scopus.com/inward/record.url?scp=84900524552&partnerID=8YFLogxK
U2 - 10.1109/TII.2013.2287395
DO - 10.1109/TII.2013.2287395
M3 - Article
AN - SCOPUS:84900524552
SN - 1551-3203
VL - 10
SP - 1097
EP - 1106
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 2
M1 - 6650120
ER -