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In this paper, a model predictive control strategy for a five level cascaded H bridge multilevel inverter used in a grid connected photovoltaic system is presented. Finite Control Set Model Predictive Control (FCS-MPC) is used here due to its simple and flexible nature to adapt with the discrete nature of power electronic circuits. Its digital implementation is also made easier with the advancement...
This paper presents two-stage power conditioning system for grid integrated Photovoltaic (PV) applications. The proposed system has distinct feature such as: high voltage gain, high efficiency, low voltage stress and galvanic isolation. The system is controlled via Model Predictive Control (MPC) to do the following functions: extract maximum power from the PV generator, and inject a sinusoidal current...
This paper proposes a finite control set model predictive current control (FCS-MPCC) with grey prediction for surface mounted PMSM drives. The basic FCS-MPCC is combined with grey prediction to improve the dynamic performance current control. Grey system takes into account both certain and uncertain information in real system, and use the rolling optimal grey sequence to predict the control current...
Optimal triggering of networked control systems is investigated in this study and the framework of approximate dynamic programming is selected for solving the problem. Different cases including Zero-Order-Hold, Generalized Zero-Order-Hold, and lossy networks are investigated in designing optimal triggering/scheduling laws. After analyzing convergence, optimality, and stability, the performance of...
An approximate solution for optimal switching problems with continuous-time dynamics and infinite horizon cost functions is developed in this paper. The proposed solution is a policy iteration-based algorithm and provides a feedback scheduling policy with a negligible real-time computational burden. The convergence to the optimal solution and stability of the system under the proposed solution are...
For the output current distortion and larger harmonic of conventional PWM inverter, a predictive control method with minimum cost current is proposed. Based on the predictive control model of the inverter and load, the forecast current is calculated by the sampling current and predictive model. Furthermore, the optimum switching vectors with minimum cost and lower switching times can be got through...
Based on the theoretical model of three-level converters, a mathematical model of the predictive active power and reactive power control is deduced. Relationship of both active power and reactive power with voltage vectors is analyzed from an instantaneous power perspective. Influence and tendency caused by voltage space vectors on the active power and reactive power are described in detail. Because...
This paper considers a model predictive controller with reference tracking that manipulates the integer switch positions of a power converter. It is shown that the optimal switch position can be determined with a reduced online computational burden. Instead of solving the optimization problem in each sampling period, the optimization problem can be solved in a new coordinate system, partially offline...
This paper is concerned with the investigation of Finite Control Set Model Predictive Control (FCS-MPC) for dc link voltage balancing in a Vienna rectifier. Large EV charging stations with common dc bus utilize a high-power rectifier as a front end conversion stage. In this regards, Vienna rectifier, as a central ac-dc stage, with bipolar dc bus structure is an attractive choice. Bipolar dc bus is...
The flying capacitors (FCs) of the nested neutral-point-clamped (NNPC) converter show an inherent voltage ripple at fundamental frequency. This ripple can be significantly large under some operating conditions of the converter. In this paper, the amplitudes of the low-frequency voltage ripples in the FCs are determined. An averaged model of the NNPC converter is introduced and used in the analysis...
Finite control set model predictive control is a flexible control scheme with fast dynamic. The standard form of this controller is based on the minimization of a cost function. The cost function needs weighting factors that is dependent to the system parameters and operating point. The tuning of the weighting factors requires nontrivial process. This paper presents a predictive direct torque and...
This paper presents a predictive control strategy to control the load current in a single-phase AC-AC converter. The proposed technique consists on a prediction estimation to choose the available switching state of the converter to be applied one step ahead. By considering a cost function, the best switching state to be applied into the converter the next sampling period is selected. All this is done...
Unified Power Flow Controller (UPFC) is one of the most flexible, versatile and complex FACTS devices which are employed in the transmission systems to control the power flowing through the transmission line. In this paper, the application of the Finite Control Set Model Predictive Controller (FCS-MPC) is investigated for the power flow control using UPFC. FCS-MPC controller has several advantages...
Finite control set model predictive control (FCS-MPC) is very effective and simple control approach which has been suitable for control of various types of power converters. It is a very flexible tool because it evaluates an arbitrary cost function which directly influences converter behavior according to particular demand. For an accurate numerical calculation of the cost function, discretization...
This paper proposes Z-source with voltage multiplication inverter for grid connected Photovoltaic (PV) application. The proposed scheme has two-stage. The first stage consists of Z-source with voltage multiplication converter. The proposed converter has high gain compared to other transformer less topologies and reduced voltage stress on the switch. The second stage assembled from five switch inverter...
Recently, Model Predictive Controller (MPC) becomes the most attractive control in power electronics and drives applications. It is incorporated in Z-Source Inverter family (ZSI) where each of capacitor voltage, inductor current and output load currents could be controlled at their setting points' values. In this paper, a proposed algorithm for qSZI is introduced to simplify the system through reducing...
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...
Matrix converters have become popular due to their capability for direct ac-ac conversion without a dc-link capacitor. Several modulation methods have been proposed for matrix converters including Space Vector Modulation (SVM), which has been widely used in conjunction with numerous different control approaches as it can ensure sinusoidal input and output currents with unity power factor and fixed...
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...
A mathematical pendulum under Poisson and Gaussian excitations is considered. A bounded in magnitude control force is applied to the system in order to minimize mean system's response energy. An optimal control law for the Boltza cost function may be found via Dynamic Programming approach, resulting in the Hamilton-Jacobi-Bellman (HJB) equation. Solution to the nonlinear HJB equation has been derived...
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