MODEL PREDICTIVE CONTROL FOR INDUSTRIAL APPLICATIONS OF THREE - PHASE INVERTERS

Tóm tắt

This paper proposes a Model Predictive Control (MPC) method used for DC-AC converter applications to connect the electrical systems in industry. DC-AC inverters used to convert DC power into AC power for supplying to an AC load. Parameters are controlled in output voltage value or current value, corresponding to voltage source inverter (VSI) inverter and current source inverter (VSC) [1]. DC-AC converter phase three is the main part of the three-phase inverter. Today, controlling for DC-AC inverter has many methods applied [2][3]. However, the FCS-MPC method has many advantages: Impact fast, easy to apply, high conversion efficiency, etc. The design procedure of FCS-MPC is based on first, a discretetime model of the system that is used to predict the behavior of the controlled variables for all the possible switching states of the converter and second, a cost function should be defined according to the control requirements of the system [1]-[2]. The switching state that minimizes the cost function will be selected to be applied to the converter at the next sampling time [4]. This study presents in detail description of a cost function-based predictive control strategy called Finite Control Set Model Predictive Control (FCS-MPC) and its applications to the control of power electronics converters DC-AC.