The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Predictive control has recently emerged as a promising alternative to more traditional methods for the control and modulation of power converters. This paper presents an overview of predictive control techniques applied to matrix converters. The paper highlights that predictive control strategy is a promising alternative to conventional modulator based linear control for matrix converters due to its...
This paper proposes a variable sampling frequency model predictive control (VSF-MPC) to achieve fixed-switching frequency operation for a neutral-point clamped (NPC) inverter. The proposed control technique simultaneously considers load current control, balancing of DC-link capacitor voltages, mitigation of common-mode voltage, and elimination of even-order and inter-harmonics in the load current...
In this paper a Predictive Current Control strategy is proposed for constant switching frequency operation and verified with a neutral-point-clamped (NPC) converter for load current regulation and DC-link capacitor voltages balancing. The aim of this control technique is to obtain a modulated waveform at the output of the converter, whilst maintaining all the desired characteristics of FCS-MPC. The...
Advances in power electronic converters technology along with the wide range of applications require sophisticated digital control schemes. In the recent years Finite Control Set Model Predictive Control (FCS-MPC) has been successfully proposed as an alternative to the traditional control techniques, due to its fast dynamic response, easy inclusion of nonlinearities and constraints in the control...
While the known modulation and control techniques for single-phase matrix converters are based on pulse width modulation or space vector modulation, this paper presents a finite control set model predictive control strategy with a prediction horizon of one sampling time to control the singlephase matrix converter. The presented converter is meant to be used in cascaded configurations for high power...
This paper presents a novel model predictive current control method for current source inverters (CSI) following the duality with voltage source inverters (VSI). The method is based on the discrete prediction model of the system, including the converter and output filter. The model is used to predict how the system variables will behave for each switching state of the converter. The predictions are...
This paper presents a finite control set model predictive strategy to control the three-phase four-leg neutral-point-clamped (NPC) inverters. The four-leg NPC inverter delivers power to the unbalanced/nonlinear three-phase loads, and it can produce three output currents independently. The proposed method uses the discrete-time model of the inverter and load to predict the load current and capacitor...
Distributed power systems are getting more attention now-a-days due to their high flexibility and reliability. In this paper, predictive current control strategy is proposed for the grid-connected four-leg inverters. This kind of converter is developed to deliver power to the unbalanced/nonlinear three-phase loads and as well to the grid. The discrete-time model of the converter and load is used to...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.