Dynamic Identification of Induction Motor Drives by using FUZZY and PI Controllers

Abstract

In the current high performance drives, for good control of induction motor, the measurement of the induction motor parameter variables should be more precise and accurate. The various induction motor parameters includes rotor magnetic flux, motor torque, rotor speed, voltages and currents etc. which can be affected by the variations in the winding temperatures, flux variations and skin effect. Any mismatch between the actual values of the motor's characteristics and the ones utilized to build the controllers may result in driving performance deterioration. In the new identification method, by using the easily measurable IM parameters like stator currents, voltages, frequency and mechanical angular speed, the influence on the stator currents by the rotor flux vector is found. Determination of parameters like rotor flux and torque which may change especially during the operation of the IM is possible. It operates dependably over the whole range of the motor's angular speed. The position of the roots of the characteristic equation of its linear transfer function ensures the stability of the identification structure. Here the proposal of identification method with the comparison of the proportional integral and the fuzzy logic controller is done with validation by simulating successfully through the MATLAB software.