TY  - JOUR
AB  - Purpose The major disadvantage of the field-oriented control (FOC) scheme of induction motors is its dependency on motor parameter variations because of the temperature rise. Among the motor parameters, rotor resistance is a parameter that can degrade the robustness of FOC scheme. An inaccurate setting of the rotor resistance in the slip frequency may result in undesirable cross coupling and performance degradation. To overcome this disadvantage, the purpose of this paper is to propose a model reference adaptive system (MRAS) rotor time constant tuning to improve the induction motor drive performance and to compensate the flux orientation error in vector control law.Design/methodology/approach First, the dynamic model and the indirect field-oriented control of induction motor are derived. Then, an inverse rotor time constant tuning is proposed based on MRAS theory where a new adaptation signal formulation is used as reference model, and the estimated stator currents obtained from induction motors (IM) state space resolution is used in the adaptive model.Findings The effectiveness and robustness of IM speed control with the proposed MRAS inverse rotor time constant estimator is verified through MATrix LABoratory/Simulink model simulation and laboratory experimental results. The simulation and experimental results show good transient drive performances, satisfactory for rotor resistance estimation and robustness with regard to uncertainties and load torque disturbance.Originality/value This paper presents an online tuning of the inverse rotor time constant using a new adaptation signal MRAS model. The proposed estimator is proved to guarantee the stability for different operating conditions, especially in very low/zero speed region and heavy load torque. The stability analysis of the proposed estimation procedure is also demonstrated.
VL  - 38
IS  - 1
SN  - 0332-1649
DO  - 10.1108/COMPEL-03-2018-0133
UR  - https://doi.org/10.1108/COMPEL-03-2018-0133
AU  - Omari Aymen
AU  - Ismail Khalil Bousserhane
AU  - Hazzab Abdeldjebar
AU  - Bouchiba Bousmaha
AU  - Benmohamed Fayssal ElYamani
PY  - 2018
Y1  - 2018/01/01
TI  - Real-time implementation of MRAS rotor time constant estimation for induction motor vector control based on a new adaptation signal
T2  - COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
PB  - Emerald Publishing Limited
SP  - 287
EP  - 303
Y2  - 2024/04/16
ER  -