Open AccessComparison of Artificial Controller Based MRAS Speed Observer for Field Oriented Control of Induction Motor
Author(s) -
Meera Shareef Sheik,
K.C. Balaji
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/925/1/012019
Subject(s) - mras , control theory (sociology) , induction motor , phasor , vector control , electronic speed control , observer (physics) , overshoot (microwave communication) , fuzzy logic , settling time , computer science , direct torque control , fuzzy control system , control engineering , engineering , voltage , step response , control (management) , artificial intelligence , physics , telecommunications , power (physics) , electric power system , quantum mechanics , electrical engineering
In many industrial applications, the varying speed of the motor drives has become essential for the fast dynamic load conditions. Therefore, the detailed analysis of Field Oriented Control (FOC) with the sensor-less technique of induction motor is proposed where the reference speed is obtained from the MRAS speed observer, and fuzzy, ANN based controllers control the speed. The FOC not only control the magnitude but also provides the phasor control. The FOC is one of the sensors less technique. The sensor-less invokes the process of estimating the speed; the proposed MRAS speed observer achieves it. The MRAS speed observer gets the inputs such as current and voltage and then it converts to flux to reference speed. The FOC control the torque and flux components independently, and the flux component is obtained by the current. The fuzzy-based control technique is utilized for the control of the speed of the induction motor. In addition to this paper compares the results of fuzzy, and ANN based speed control methods, the results include the settling time, peak overshoot, ripples and accuracy of the speed. The results have been compared in the virtual environment by the MATLAB tool.