A New Artificial Neural Network Controller for Direct Control Method for Matrix Converters Hong Hee Lee NARC, Ulsan University, Korea hhlee@mail.ulsan.ac.kr Phan Quoc Dzung Faculty of Electrical & Electronic Engineering HCMC University of Technology Ho Chi Minh City, Vietnam pqdung@hcmut.edu.vn Le Minh Phuong Faculty of Electrical & Electronic Engineering HCMC University of Technology Ho Chi Minh City, Vietnam lmphuong@hcmut.edu.vn Le Dinh Khoa Faculty of Electrical & Electronic Engineering HCMC University of Technology Ho Chi Minh City, Vietnam khoaledinh@hcmut.edu.vn Abstract-This work presents a new artificial neural network (ANN) Controller for implementing the Direct control method (DCM) for Matrix converters (MC) to decrease the time of calculation of the conventional DSP control system. To avoid the difficult calculation of ANN-DCM, the design uses the individual training strategy with the fixed weight and the supervised models. A computer simulation program is developed using Matlab/Simulink together with the Neural Network Toolbox. The simulated results demonstrate the good quality and the robustness of the proposed ANN-DCM- Controller for MC. I. INTRODUCTION Three- phase matrix converters (fig.1) have received considerable attention in recent years because they may become a good alternative to voltage- source inverter pulse-width-modulation (VSI-PWM) converters. In reality, the matrix converter provides important benefits such as bidirectional power flow, sinusoidal input current with adjustable displacement angle (i.e. controllable input power factor), and a great potential for size reduction due to the lack of dc- link capacitors for energy storage [1-3]. The direct control method DCM [4] for matrix converter has good behaviors such as simple method by using mainly the look-up tables, no requirements for coordinate transformation and PWM pulse generation. The use of DCM for matrix converter has been worked out with a good performance [4]. In order to avoid time-consuming searches in the tables according to this method, a lookup-table is used, which consists of all possible combinations of 12 line-side voltage sections with 6 load-side sectors and 12 load-side current sections with 6 line-side sectors. This look-up table is very large, which consists of 5184 elements and aims to increase the execution time [4]. Therefore, it is difficult to implement DCM using common DSP hardware with serial calculations. However, the distortion of the line-side currents could be reduced, if a shorter cycle time of the controller could be realized. Therefore, Artificial Neural Network (ANN) Controller, having faster parallel calculation and simpler circuit structure, is a good alternative for implementation of DCM. The applications of ANN technique have been developed strongly in power electronics for recent years. Several researches of ANN implementation of Space vector modulation have been worked out for conventional VSI [5-8]. Fig. 1. Schematic representation of a matrix converter Fig. 2. The block diagram of the conventional control This paper presents an new ANN controller for Direct control method for Matrix converter with 7 types of subnets and about two hundreds neurons to compare with the DSP serial calculations of the DCM for MC, the PEDS2009 434