This paper introduces a novel technique for minimizing losses in sensorless field-oriented induction motor (IM) drives using a search control (SC) approach based on improved adaptive quadratic interpolation (AQI). The AQI method is applied within a sensorless IM drive utilizing a rotor flux (RF) model reference adaptive system (MRAS) to demonstrate its effectiveness in reducing overall system losses. In this proposed technique, the AQI operates within the flux-loop of the speed control system to optimize the flux component of current for efficient drive operation. The algorithm is straightforward like conventional search controls and does not require additional circuitry for practical implementation. It offers faster convergence without compromising the dynamic response of the control loop and is robust against variations in machine parameters. The presented search controller notably enhances the efficiency of the IM drive by minimizing core losses. The present research outcome will be highly motivating for e-transportation applications. All simulations and analyses are conducted using MATLAB/Simulink to validate the efficacy of this approach.
Optimized Power Control Strategy for Sensorless Induction Motor Drive Used in Electric Vehicle Applications
2024-07-31
790176 byte
Conference paper
Electronic Resource
English
Electric vehicle with robust sensorless induction motor drive
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