Adaptive Control of Induction Motor Under Magnetic Saturation with Uncertain Rotor Resistance and Unknown Load Torque with Stator Currents and Fluxes Measurements

Author(s):  
Mohamed M. Ismail ◽  
Hossam A. Abdel Fattah ◽  
Ahmed Bahgat
2012 ◽  
Vol 1 (3) ◽  
pp. 1-53 ◽  
Author(s):  
Mohamed M. Ismail ◽  
Hossam A. Abdel Fattah ◽  
Ahmed Bahgat

The problem of controlling the induction motor -model with magnetic saturation is considered. An adaptive controller is developed under the assumption of measurable stator currents and speed only with unknown rotor resistance and load torque. All the unknown parameters are assumed constant or slowly varying and are estimated online by the controller. Simulation results are provided for illustration.


Author(s):  
Aymen Omari ◽  
Bousserhane Ismail Khalil ◽  
Abdeldjebar Hazzab ◽  
Bousmaha Bouchiba ◽  
Fayssal ElYamani Benmohamed

PurposeThe 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/approachFirst, 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.FindingsThe 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/valueThis 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.


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