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Boost converters are widely used in several applications such as solar PV systems, energy storage systems, etc. In order to improve its dynamic performance, several model predictive control (MPC) strategies have been proposed to govern this DC-DC converter. However, in general, they require long prediction horizons to achieve a stable closed-loop due to its well-known non-minimum phase behavior. A...
In this work, a Back to Back converter based on a Diode Clamped Multilevel topology is presented. Both converters are controlled using model predictive approach. The control objective of the front-end converter is the DC bus voltage regulation with sinusoidal current and unity power factor, while the load converter drives an induction motor through predictive direct torque control. Both algorithms...
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...
The large number of high power conversion applications has brought to the development of complex power converter configurations. A wide class of such converters are based on Power Electronic Building Block (PEBB) constituted of two level modules. Modulation strategies can take advantage of the modularity of these power converter topologies proposing modular and general control strategies. The present...
The interest in predictive control techniques and multiphase drives has re-emerged in the last decade, and predictive control techniques have been recently presented as a viable alternative to conventional PI and carrier-based or Space Vector PWM techniques in the current regulation of power converters and drives. Proposed schemes have demonstrated good performance at the expenses of a high computational...
In this paper predictive voltage control strategy is proposed to control the output voltage of a three phase four-leg inverter. The four-leg inverter is developed to deliver power to three-phase loads under light, heavy, balanced and unbalanced load and source conditions and it can produce three output voltages independently with one additional leg. To predict the voltage behavior for each valid switching...
In this work we present an Asymmetric Multicell Converter fed by a single DC source per phase. The proposed control method is divided in two parts. Firstly, the main cells are handled by using a fundamental frequency switching pattern. In parallel, a Model Predictive strategy is used to control the remaining cells which use floating capacitor instead of a DC source. The target of this controller is...
This paper presents a finite control set model predictive control strategy with a prediction horizon of one sample time to control the three-phase four-leg neutral-point-clamped (NPC) inverter with an output LC filter. The four-leg NPC converter is developed to deliver power to the unbalanced/nonlinear three-phase loads and it can produce three output voltages independently with one additional leg...
In consequence of the generic irregularity of wave energy, it is difficult to envisage the performance of a grid connected wave energy converter without simulations. This paper details a study on directly driven, linear, permanent magnet generator based, wave energy extraction scheme provided with grid-connected three phase neutral point-clamped three level inverter. The linear permanent magnet generator...
Finite Control Set Model Predictive Control has emerged as a promising control technique for Power Converters due to the fact that the inherent non-linearity of these systems can be taken into account. In addition, this strategy directly provides the switching action to be applied to the converter; consequently, additional modulation stages are not required. Despite these advantages, stability for...
Multilevel converters can reach medium-voltage operation, increasing the efficiency in high power applications. Among the existing multilevel converter topologies, modular multilevel converter provides the advantages of high modularity, availability and high power quality. Moreover, the main advantage compared to cascaded multilevel converters is the absence of input transformer; reducing the size,...
In this work, a back-to-back Diode Clamped Multilevel converter system using Model Predictive Control is evaluated. DC link voltage balance and currents as main parameters are optimized by means of a proper cost function design. This strategy allows fast system response and capacitors voltage balance under various operating conditions including active power flow, different modulation algorithms, and...
The converter system under consideration is a two-input one-output non-inverting buck-boost converter. The two control inputs introduce a degree of freedom that may be used to optimize dynamic performance and other objectives such as energy efficiency at steady state. Dynamic performance during transient is achieved using an MPC scheme, which drives the system at steady state toward its energy efficiency...
This paper presents implementation issues of a digital control system applied to a power factor correction (PFC) boost converter rated to a wide range of output power, operating in mixed conduction mode (MCM). The digital control system comprises an input current controller and an output voltage controller. The current controller is formed by two predictive model-based control laws, while the output...
This work proposes the application of model predictive control (MPC) to the control of five-phase voltage source inverters. The additional switching states and degrees of freedom present in multiphase inverters increase the number of calculations in the predictive control algorithm making difficult to implement optimization problem online. In this paper a method to reduce the calculations is proposed...
Digital predictive techniques are nowadays an attractive option for current-mode controlled voltage regulator modules. This article examines the implementation of two digital predictive control laws and their application in a typical case for this kind of loads. The simulation results presented in this paper illustrate the pros and contras of both techniques.
In this work, a predictive current control algorithm of an active filter built with multilevel diode clamped inverter is developed. Cycle by cycle current optimization is achieved through current prediction based on converter switching states and system parameters. The presented current control algorithm is naturally applicable to converters with an arbitrary number of levels with constant computational...
This paper proposes a digital control system applied to a power factor correction boost converter rated to a wide range of output power, operating in mixed conduction mode with fixed switching frequency. The control system is composed of an input current controller and an output voltage controller. The current controller comprises two predictive model-based control laws (one for the continuous conduction...
Model predictive control with a finite control set has emerged as a promising control tool for power converters and drives. One of the major advantages is the possibility to control several system variables with a single control law, by including them with appropriate weighting factors. However, at the present state of the art, these coefficients are determined empirically. There is no analytical...
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