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In this study, a new adaptive controller is introduced for the induction motors (IMs) based on immersion and invariance (I&I) technique. The dynamics of the IM system are perturbed by some disturbances such as time‐varying rotor resistance and load torque. Accordingly, an adaptive controller is designed and the uncertain parameters are online estimated. The adaptation laws are obtained from the stability analysis based on I&I method. The simulation results verified the effectiveness of the proposed control method. It is revealed that the outputs of the IM could track the desired signals in the presence of the mentioned disturbances. Also, the results are compared with the conventional control methods and it is concluded that the proposed control approach resulted in better performance. [ABSTRACT FROM AUTHOR]

This study presents a new observer‐based electronic line‐shafting (ELS) control scheme as motion synchronisation solution for motor drives in the industrial manufacturing process. To achieve better speed control performance for each ac motor drive, a sliding mode controller is proposed. This controller is designed based on a non‐linear reaching law, which helps to settle the reaching time/chattering dilemma in the conventional sliding mode control (SMC) approach. In addition, a sliding mode observer is proposed to estimate lumped disturbances for the motor drives. Disturbance estimation results are fed forward as compensation parts for the SMC controller; in the meantime, they are transmitted to the virtual line‐shafting drive to accurately reflect total system disturbances, thus to achieve high motor speed synchronisation precision. Effectiveness of the proposed ELS control scheme is verified by simulation results. [ABSTRACT FROM AUTHOR]