Performance Enhancement of Matrix Converter Fed Induction Motor Drives Using Fuzzy Supervisory Controller

High-efficiency power electronics devices are necessary for induction motor drives. Moreover, induction motors have high usage rates. One efficient type is the AC-AC matrix converter with the advantage of single-stage conversion only. However, this type of converter has a big challenge when applied to the dynamic speed application on the induction motor because of its complexity. Generally, the type of speed controller which is widely used is the proportional-integral (PI) controller. Nevertheless, when applied in induction motor applications which are nonlinear systems with dynamic speed applications accompanied by complex converters, PI has some disadvantages. On the other hand, fuzzy logic offers the ability to handle nonlinear plants capable of covering the limitations of PI. The combination of these two controllers is called Fuzzy Supervisory Control (FSC). It is the best solution when applied to enhance dynamic performance. From the dynamic speed response simulation, the FSC produces 60% lower average total dynamic performance score than the PI. The lower the score the dynamic speed performance will be better. The performance of the FSC is also robust when handling the disturbance from the system. Based on this study, it can be analyzed that the FSC was able to enhance the dynamic performance of matrix converters fed induction motor drives.