This research proposes a novel design of an efficient combined sliding mode observer (SMO) for induction motor flux and speed estima-tion. The suggested sensorless technique employs the sliding mode’s second-order approach with a model reference adaptive system (MRAS). The second-order super twisting control method is free-chattering, which lowers the chattering effect while preserving the same good features as the first-order sliding mode control. In addition, the conjunction with MRAS as a separated speed estimator can raise the accuracy and make the observer immune to speed fluctuations, particularly for low-speed applications. Furthermore, in order to achieve ef-fective decoupled flux-torque control, the super twisting algorithm was combined with a nonlinear feedback linearization controller for inner control loop construction. This strategy can boost the control system's stability and robustness against external disturbances and model-ling uncertainty. The performance analysis of the suggested methods has been carried out via simulation and experimental validation utiliz-ing MATLAB/Simulink with the dSpace 1104 real-time interface.