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.
This paper presents a time-delayed model predictive control for power converters used in vehicle to grid and grid to vehicle systems. Finite-based model predictive control has proven to be an alternate digital control method for power converters. However, there are some real-time implementation issues, including specifically time delay, that have to be addressed in order to achieve the system reliability...
This paper presents a new and simple voltage control strategy for three phase current source inverter (CSI) using finite-set model predictive control. The proposed method can ensure an interruptible power supply (UPS) for the local loads of an islanded grid connected CSI independently of the type of these loads. The control of the inverter's output voltages is performed using the discrete model prediction...
A cyber-physical system (CPS) approach for branch and bound algorithm (BnB) based model predictive control (MPC) of permanent magnet synchronous machine (PMSM) drive system fed by three-level NPC inverter is proposed in this work. The proposed control strategy deals with both the physical states and a cyber state, i.e. the sampling frequency. With the help of cyber controller, the cyber resource and...
In this paper a Model Predictive Control (MPC) was applied to the flux and torque control of a Synchronous Reluctance Motor, SynRM. The behavior of the controller was analyzed based on model's simulations performed in Matlab/Simulink Software. From the results, it was verified that the controller has good performance. The SynRM can reach the speed reference value controlling simultaneously flux and...
The presented DTC-3V-3L method was designed to ensure the high performance of PMSM drive. Using the predictive approach the algorithm minimizes torque ripples, ensures constant switching frequency and DC link voltage balancing. Moreover, it also provides the fastest dynamic torque response, similar to the fastest non-linear methods.
A new type of linear-programming based Model Predictive Control (LP-MPC) is presented in this work. The MPC optimization process is reformulated as a linear programming problem and solved using the Simplex method. The optimization result is the duty cycle of a fixed-frequency pulse width modulator (PWM) which switches the transistors of a three-phase grid-connected voltage source inverter. In opposition...
This paper presents predictive control for single phase multi-module UPS inverters with output LC filter modeling. In the previously proposed current predictive control, it has finite dynamic response of transient time by voltage PI control. To complement this problem, voltage and current predictive control are proposed to substitute voltage PI control with output LC filter modeling. Multi-module...
In this paper, we propose a secondary voltage control approach of islanded microgrid based on distributed model predictive control (DMPC). Each submodule of a distributed generation (DG) is modeled in a rotation reference frame and combine them to achieve the nonlinear complete model. Considering the nonlinear DG dynamics, an input-output feedback linearization is developed. Besides, all DGs only...
A hybrid predictive control strategy is proposed which can efficiently deal with the speed regulation control of permanent magnet synchronous generator (PMSG) in wind-energy conversion system. A single linear MPC controller is designed with a simpler linearization model. Model predictive controller generates control voltages which are iuput into PWM controller. Thus PMSG can be controlled by three-phase...
In this paper, two control strategies for Transformerless Dynamic Voltage Restorer(TDVR) are analyzed on the basis of its performance under voltage sag, and swell. Eliminating the usage of a transformer for DVR precisely reduces the size and cost. The load voltage profile is controlled using model predictive control, an advanced control which tracks the reference voltage by predicting the future behaviour...
Stochastic dynamic behavior of solar energy necessitates the use of robust controllers for photovoltaic (PV) power electronics interfaces. Such robust controller maximizes the energy harvest through continuous operation using a maximum power point tracker (MPPT). A model predictive control MPPT (MPC-MPPT) is proposed in this paper for a quasi-Z-source inverter (qZSI) based grid-connected PV power...
In this paper, a Model Predictive Control (MPC) strategy is applied to a Multilevel Current Source Inverter (MCSI) and its associated current source. The controller uses a discrete-time model of the entire system in order to predict the future behavior for each of the available switch states. The system is composed of a multilevel inverter, a buck converter, an output filter and a load. Each of the...
In this paper, Lyapunov law based model predictive control scheme is proposed for the grid integration of 3L-neutral point clamped (NPC) inverter. Lyapunov law based cost function, which aims to select the optimal voltage vector using system discrete model equations just once in each control cycle is able to reduce the current tracking error. Thus, low THD symmetrical current is injected to the utility...
This paper presents a fault tolerant control proposal for a single Open Phase Fault (OPF) in a three-phase Permanent Magnet Synchronous Motor (PMSM). The mathematical model of the motor under open single phase is presented and its disturb to current, flux and torque are evaluated. The presented method is based on the Finite Control Set Model Based Predictive Control (FCS-MPC), and it is compared to...
This paper presents a method to design a predictive controller for a 50kW three-phase grid-tied inverter. A discrete-time model of the inverter is built in which duty ratios are modeled as continuous control variables. Then, introduce predictive control parameters P and M, and built a predictive model based on predictive controller parameters and discrete-time model. A cost function is employed as...
Model Predictive Control (MPC) method is proposed in this paper applied to a single phase grid-connected inverter. This method uses a state-space equation of the system to predict the next time value of current from the grid side by adjusting the duty ratio of inverter in each sampling period. The duty ratio which minimizes a cost function is selected. Then, taking advantage of the duty ratio to control...
In order to improve the quality of the power injected into a grid, this paper presents a model predictive control strategy for three-phase four-leg grid-tied inverters. For the convenience of optimization, the discrete-time model of the inverter in which duty ratios are modeled as continuous control variables is investigated. A current tracking error oriented cost function is employed as a criterion...
Reducing number of static converters in electromechanical systems will lead to a global degradation of energy efficiency. In the case of Mono-Inverter Dual-Permanent Magnet Synchronous Machine (MIDPMSM) system, several studies have shown this effect especially when the load torques are different. In this paper, after analyzing the performance of Optimal Predictive Control (OPC) for MIDPMSM system...
Uninterruptable power supply (UPS) applications require شa well regulated sinusoidal output voltage with low total harmonic distortion (THD). These requirements are achieved by model predictive control (MPC) of UPS inverter with LC filter on the output. The controller uses the model of the system to predict the future behavior of the controlled variables for all possible voltage vectors, and uses...
The model predictive control method can be effective for converter control in distributed power generation but requires a large amount of computation, leading to a considerable time delay in the actuation. If the delay is not reflected, the system performance could get worse. This paper presents a two-step (horizon) prediction algorithm of model predictive control technique for grid-tied inverters...
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.