MODEL REFERENCE ADAPTIVE SYSTEMS

Abstract

The most widely used electrical machines in industry for a variety of modern high-performance drive applications are induction motors (IMs), particularly those using squirrel cage rotors. To realize the control of sensorless IM drive and achieve high precision, proper knowledge is required to obtain adequate IM parameter values. [3] Such as obtaining the stator resistance and rotor resistance values of the IM used, the variation of which can cause inaccurate speed estimation over the entire operating range of the sensorless drive. A number of methods for high-performance sensorless IM drive speed estimation by considering the influence of parameter variations have been developed [1],[11]. This paper presents the Model Reference Adaptive Control (MRAC) method, in this control method the plant parameters are not specified. The appropriate model is selected and used to design the controller. Therefore, this method has robustness to plant parameter variations. Therefore, this method has robustness to the variation of parameters of the plant. The simulation results show the robustness of this method to parameter variations in the motor drive section and the load in Figures 6 to 9. The simulation results show that the system output is still stable, but the constraint faced in this method is that the controller response is too slow when compared to robust controller types such as the Zeroing method and the VS-MRAC method [9][10]. The controller cannot make a fast response when the load acts on the system. The effect is the output of the system w_L has a large swing in the transient and it takes a long time to reach a constant value