Modifying the Structure of a Fuzzy Controller to Improve Speed Estimation Response in Rotor-Flux MRAS DTC Drive
Keywords:
Direct Torque Control (DTC), Fuzzy logic controller, Motor drives, Model Reference Adaptive System (MRAS), Fuzzy MRAS.Abstract
Direct Torque Control (DTC) technique provides a multidimensional control over the target system. From the capability to employ various speed controllers and constant monitoring of the motor state to the minimization of inrush current and voltage sag on the power network side, DTC dictates its excellence evidently. Wide range of functionality along with the fast and precise torque and speed responses have made this system one of the best choices for the control of an induction motor. However, DTC drive’s inherent need for a rotor speed sensor brings some drawbacks. This paper studies design, calculation, and the performance of a novel Fuzzy scheme implemented in a Model Reference Adaptive System (MRAS) for sensorless speed observation. In order to evaluate the effectiveness of the proposed technique, its results are contrasted with the conventional scheme of a PI controlled MRAS DTC. The operation of a 5hp induction motor is analyzed on MATLAB Simulink platform for various scenarios of abrupt speed demand and load torque changes. Although both MRAS mechanisms demonstrate satisfactory performance in steady state conditions, the Fuzzy based system offers considerably more accurate and reliable responses even for transient states with minimized estimation error and higher signal precision.
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