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This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power...
The implementation of various voltage balancing control schemes, including finite-state model-predictive control, for a three-level flying-capacitor topology is analyzed. This configuration is especially useful for power amplifier applications. Different control methods (SISO PI control, MIMO LQ optimal control and MPC) are compared by means of simulations, and, for verification, an experimental setup...
Control of grid-tied wind turbine systems under unbalanced grid is one the challenges. This work studies and illustrates several unbalanced grid control methods combined with Direct Model Predictive Control (DMPC) schemes for three level NPC back-to-back power converter Permanent-magnet Synchronous Generator (PMSG) wind turbine systems. Within this paper, three different compensation schemes, i.e...
This paper introduces so-called “Assignment Figures” as a tool to evaluate the impact of different cost functions on the resulting switching state patterns for predictive inverter control. These Assignment Figures are derived for two-level voltage source inverters and investigated for different cost function variants, including weighted switching frequency reduction and common-mode voltage reduction...
Three-level neutral-point clamped (NPC) power converter seems promising for high power grid-tied renewable applications. Direct Model Predictive Control (DMPC) is an attractive control method, in particular for multi-level converters. However, relatively big ripples of the control variables and heavy computational efforts are regarded as two of the shortcomings for DMPC schemes due to its cost enumeration...
This paper presents the predictive control of the H-NPC converter for single-phase grid-connected photovoltaic (PV) applications. This topology has been commercialized by one major manufacturer for small-scale rooftop PV applications, up to 8 kW, with classic PI control and an adapted carrier based PWM modulation. The proposed control scheme allows the dc-Link voltage control and the balance of the...
The modular multilevel converter (MMC) is a competitive candidate for medium/high-power applications, specifically for high-voltage direct current transmission systems. Model predictive control (MPC) is an advanced and flexible method for power converters. The existing MPC methods for the MMC 3-phase system treat whole system as a three independent single phase system, and the computational load increases...
This paper presents a model-based predictive control scheme for a dual-output Nine-Switch Inverter (NSI) with output filter. The conventional Pulse Width Modulation (PWM) method for NSI control is very complicated, it requires a multi-loop control scheme and implementation incurs high computational costs. Conversely, the proposed predictive control scheme is simple and controls two the three-phase...
For an AC/DC coupled transmission system, the change of transmission power on the DC lines will significantly influence the AC systems' voltage. This paper describes a method to coordinated control the reactive power of power plants and shunt capacitors at DC converter stations nearby, in order to keep the voltage of the pilot bus tracking its set point considering the DC system's transmission schedule...
This paper presents a detailed description of Finite Control Set Model Predictive Control (FCS-MPC) applied to three-level neutral point clamped inverter (3L-NPC). The controller uses a model of the converter, DC link and load to calculate predictions of the future values of the load currents and DC-link capacitor voltages for all possible voltage vectors. The cost function is defined to minimize...
We present a simplified Mixed Logical Dynamic (MLD) model for DC-DC Boost converter using less number of binary variables and continuous variables. A constrained optimal problem is formulated and solved based on Model Predictive Control (MPC) using the simplified MLD model. The optimized switching signal derived by the MPC regulates the output voltage. The MLD modeling of the converter is accurate...
This work presents a simplified predictive controller for the Cascade Asymmetric Multilevel Converter (CAMC). Instead of evaluating all target variables simultaneously (phase currents, voltages on the flying capacitors and midpoint voltage on the DC bus), the method uses the line voltage redundancy and the phase redundancy in a separate way and exploits their effects over each group of target variables...
This paper presents a new and simple Finite Control Set Model Predictive Control (FCS-MPC) strategy of the Modular Multilevel Matrix Converter (M3C). This converter is one of the direct AC/AC power converters suitable for medium-voltage high-power machine drives with regenerative capacity. One of the main feature of this converter is that does not need external dc-voltage supplies and thus, all capacitor...
In this paper a predictive current control strategy with a fixed switching frequency for a voltage source inverter is proposed, with the aim of obtaining a modulated waveform at the output of the converter with a natural reduction of the common mode voltage. The feasibility of this strategy is evaluated using simulation results to demonstrate the advantages of predictive control, such as fast dynamic...
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...
This paper presents a grid-connected seven-level cascaded H-bridge converter operating as photovoltaic inverter. The main issue with this topology are the natural power imbalances between the power cells and the phases of the converter. The control problem is addressed with a Multiobjective Finite Control Set Model Predictive Control, where a dc-link voltage balance among the cells and good tracking...
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...
Traditional finite-set model predictive control (FS-MPC) techniques are characterized by a variable switching frequency which causes noise as well as large voltage and current ripple. In this paper a novel predictive control strategy with a fixed switching frequency for a voltage source inverter is proposed, with the aim of obtaining a modulated waveform at the output of the converter with a natural...
This paper presents a model predictive control method applied to a single phase grid-connected inverter. The method uses a discrete-time model of the system to predict the future value of the load current by using all possible voltage vectors generated by the inverter. The voltage vector which minimizes a quality function is selected. Then, use the switch state deduced by the select voltage vector...
A three-phase AC-DC converter is proposed to charge the battery or DC-link of Wireless Electric Vehicles (WEVs). The topology uses a current-feed, single-output matrix converter and a high frequency (HF) transformer together with an H bridge to obtain regulated DC output voltage, such that the galvanic isolation of the transformer may be used as the wireless link. The converter uses a variant of a...
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