Induction Motor Controller Using Fuzzy MRAS and Backstepping Approach


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Abstract


This paper presents a sensorless controller developed by the backstepping approach for the speed control of induction motor. In this control strategy, we used the fuzzy MRAS to estimate the rotor speed, while the rotor flux is observed by Luenburger observer. The control model involves a division by the flux variable that may give rise to unbounded solutions. Such a risk is avoided by basing the controller design on Lyapunov function since it takes into account the model singularity. This mixed method gives better results in sensorless operations and especially at low speeds. The flux response time (at 5%) is typically 20 ms while the steady-state error between real and estimated speed remains in ±0.8 rad/s range at rated speed and in ±1.5 rad/s range at low speeds.
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Keywords


Backstepping Approach, Fuzzy Logic, Induction Motor, Luenburger Observer, Sensorless, Model Reference Adaptive Systems (MRAS)

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References


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