This paper presents a newly designed switching linear feedback structure of sliding mode control (SLF-SMC) plugged with an model reference adaptive system (MRAS) based sensorless field-oriented control (SFOC) for induction motor (IM). Indeed, the performance of the MRAS depends mainly on the operating point and the parametric variation of the IM. Hence, the sliding mode control (SMC) could be considered a good control alternative due to its easy implementation and robustness. Simulation and experimentation results are presented to show the superiority of the proposed SLF-SMC technique in comparison with the classical PI controller under different speed ranges and inertia conditions.

This paper proposes the use of a proportional-integral-derivative (PID) controller as an adaptive mechanism within the framework of the Model Reference Adaptive System based rotor flux (MRASF) for accurate rotor speed estimation in induction motors (IMs). The controller is designed to impose specific dynamic behaviors and performance criteria, addressing the sensitivity of MRASF dynamics to slip speed. To achieve this, a full-order transfer function of the MRASF is employed to systematically derive the PID parameters using compensation and pole placement techniques. The proposed control strategy ensures that the estimated rotor speed closely follows the desired performance across various operating conditions. The effectiveness of the MRASF-PID design is validated through both simulation and experimental testing under open-loop voltage/frequency (V/F) control of the induction machine, confirming the successful realization of the targeted dynamic and steady-state performance.