Title: Improved model predictive control for three-phase inverter with output LC filter

Authors: Ihab S. Mohamed; Sherif A. Zaid; M.F. Abu-Elyazeed; Hany M. Elsayed

Addresses: Electronics and Communications Engineering Department, Institute of Aviation Engineering and Technology (IAET), Egypt ' Electrical Power Department, Faculty of Engineering, Cairo University, Egypt ' Electronics and Comm. Dept., Faculty of Engineering Cairo University, Egypt ' Electronics and Communications Department, Faculty of Engineering, Cairo University, Egypt

Abstract: The control of inverters with output LC filter has a special importance in applications where a high quality voltage is needed. However, the controller design becomes more difficult. A model predictive control (MPC) is used for voltage control of a three-phase inverter with output LC filter. The controller uses a model of the system to predict the behaviour of the variables for a given voltage vector sequence until a certain horizon of time, then a cost function is used as a criterion for selecting the switching state that will be applied during the next sampling interval. This paper presents the effect of considering different numbers of prediction steps in terms of THD and the number of cycles or the settling time to reach steady state operation. The simulation results for MPC with only one prediction step and the improved MPC with two prediction steps are presented and compared, under linear and nonlinear loads, using MATLAB/Simulink tools. The simulation results show that the improved MPC improves the THD for nonlinear loads and makes it constant for different resistive loads. Moreover, the settling time can be considered constant for various linear and nonlinear loads.

Keywords: power conversion; model predictive control; three-phase inverters; output LC filters; uninterruptible power systems; UPS; controller design; voltage control; simulation; THD; total harmonic distortion.

DOI: 10.1504/IJMIC.2015.070642

International Journal of Modelling, Identification and Control, 2015 Vol.23 No.4, pp.371 - 379

Received: 09 Jul 2014
Accepted: 21 Aug 2014

Published online: 15 Jul 2015 *

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