SIMULATION OF MATRIX CONVERTER-FED PERMANENT MAGNET SYNCHRONOUS MOTOR WITH NEURAL FUZZY CONTROLLER

Abstract

AbstractConverting and controlling the electrical energy are one of the significant proceedings in electrical engineering. The rapid developments in power electronics converters especially in semi-conductor power devices have led great advances in controlling electrical energy. One of the most interesting devices in the power converter family is matrix converters which provide direct ac-ac power conversion without needing a dc link. With recent developments in magnet materials, permanent magnet synchronous motors (PMSMs) have taken considerable interest in industrial applications due to their outstanding features. In the literature it can be seen that permanent magnet synchronous motor drives have been performed by using various control methods. Fuzzy logic controllers aim to include an expert experience in a necessary controller design to control a system which involves linguistic changes and describes fuzzy rules instead of the complex mathematical model of a system. In this paper, a vector controlled matrix converterfed PMSM was simulated with ANFIS based neural fuzzy. Simulation has been performed by applying various speed references. Performance of the drive system has been also shown for speed reversal. In addition, behaviour of the drive system with various load conditions was also observed.

Keywords

• Matrix converter, permanent magnet synchronous motor, neural fuzzy, speed control