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Sensorless Vector Control of Induction Motor Based On Extended Kalman Filter and Fuzzy Controller

Abstract

This paper depicts the vector control of an induction motor by the speed estimation utilizing an extended Kalman filter and fuzzy controller. In this paper, the rotor speed is viewed as a parameter, and the composite state is made out of the first state and the rotor speed. The extended Kalman filter is utilized to distinguish the speed of an induction motor and rotor flux in light of the deliberate amounts, for example, stator currents and DC join voltage. The assessed speed is utilized for vector control and general speed control. The current control is performed at synchronous rotating reference frame, and the assessed speed data is utilized for reference frame transformation of the current controller. PC reproduction of the speed control has been completed to affirm the speed's helpfulness estimation calculation. The error between the genuine speed and the evaluated speed is inside of a couple rpm even at the low and high speeds.

Bineet Kumar Khampariya, Manvendra Singh Kaurav

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