A5071422145- Multilevel Inverters and Converters
- Advanced DC-DC Converters
- Microgrid Control and Optimization
- HVDC Systems and Fault Protection
- Silicon Carbide Semiconductor Technologies
- Advanced Battery Technologies Research
- Adaptive Control of Nonlinear Systems
- Power System Optimization and Stability
- Iterative Learning Control Systems
- Electric and Hybrid Vehicle Technologies
Özyeğin University
2023
Eastern Mediterranean University
2017-2021
Model-predictive control (MPC) has emerged as a promising method in power electronics, particularly for multiobjective problems such multilevel inverter (MLI) applications. Over the past two decades, improving performance of MPC and tackling its technical challenges, computational load, modeling accuracy, cost function design, weighting factor selection, have attracted great interest electronics. This article aims to discuss current state strategies MLI applications, describing significance...
This paper proposes an effective sliding mode controller (SMC) for a grid-connected 7-level packed U-cell (PUC7) inverter. The aim is to design simple that deals effectively with the complex control problem of PUC7 inverter (multiobjective problem). selection actions achieved according system state error at every sampling time, regardless previous values, which makes technique model-independent. algorithm evaluates online two cost functions (one each error), are derived on basis theory, and...
In this paper, a new Lyapunov-based model predictive controller is proposed for 7-level packed U-cell (PUC7) grid-connected inverter. A cost function of the designed from system stability point view, inspired by Lyapunov control theory. The eliminates need gains that are associated with coefficients, as seen in classical based controllers. Therefore, design problem significantly simplified. addition, average switching frequency also reduced, shown both simulation and experimental results,...
This article proposes a Lyapunov-based model predictive control (MPC) design for dual output multilevel rectifier. The investigated topology, seven-level packed U-cell (PUC7) converter, is selected based on its high reliability, compactness, and low cost. proposed controller has the following advantages over conventional MPC controllers: First, no gain tuning required; second, easy implementation; third, reduced number of sensors (the load currents are estimated using mathematical PUC7...
Current control method for single phase LCL grid connected inverters is presented. The controller designed as a combination of feed-forward and sliding mode control. While will play the main role in steady state, be active case parameters uncertainties and/or disturbances. pulsed nature pulse width modulator taken into account calculations. Simulation using Matlab demonstrates robustness against parameter disturbances, addition to fast response performance.
In this paper, an effective finite-control-set model predictive controller (FCS-MPC) is proposed for active dual output rectifier. The topology under study a 5-level packed U cells (PUC5) optimized cost function designed based on the capacitors' voltages and current errors. Capacitors' reference peak value of grid are used to normalize errors within function. generated by PI using voltage presented results show proper tracking rectifier's while ensuring unity power factor.
In this paper, a novel and simple controller for seven-level packed U-cell (PUC) grid-connected inverter is presented. The control method derived based on sliding mode theory. Making use of the measured grid voltage computed reference current, value output determined. According to calculated value, suitable set selected (offline) in order satisfy reaching conditions two separate lines. lines are defined current auxiliary capacitor errors. Simulation results presented show effectiveness...
In this paper a new sliding mode control strategy for linear uncertain discrete-time systems is proposed. This based on disturbance prediction technique and can totally reject harmonic disturbances in the presence of parameter uncertainties. Simulation studies are carried out single phase UPS inverter with resistive load. Results from study show that proposed successful regarding rejection insensitivity to
Model predictive control (MPC) is a powerful method for addressing multi-objective problems, however, one of its main challenges the cumbersome tuning process weighting factors. This paper presents factorless advanced MPC recently developed nine-level active neutral point clamped (ANPC) converter, which has several advantages over conventional and recent topologies, such as low number used switches flying capacitors (FCs), reduced voltage rating FCs high efficiency. The avoids use factors...
In this paper, a discrete based sliding mode controller is applied to LCL grid connected inverter. The control input derived on feed-forward of the model in addition (DSMC). Feed-forward part contributes with most input, while DSMC improves system's steady state error and increase fast transient response. Additionally, nonlinear added reaching law approach improve robustness disturbance rejection. Simulations are performed under totally distorted voltage, was able inject pure sinusoidal...
In this study, a model predictive control (MPC) technique is applied to packed-u-cell (PUC)-based dual-output bidirectional electric vehicle (EV) battery charger. The investigated topology 5-level PUC-based power factor correction (PFC) rectifier allowing the generation of two levels DC output voltages. optimization MPC cost function performed by reducing errors on capacitors’ voltages (DC voltages) and grid (input) current. Moreover, desired peak value input current are considered within...
In this paper, a Finite Control Set Model Predictive (FCS-MPC) algorithm is proposed. The cost function in predictive control designed to eliminate the dependency on physical parameters of circuit, which may have high mismatch margin affecting precision design. implemented for three-level buck converter, and simulation compared classical FCS-MPC method. Compared MPC method, proposed Lyapunov-based method requires no gain tuning has simple design procedure while achieving comparable performance.
This study proposes the application of a Lyapunov-based Model Predictive Control (L-MPC) approach to 9-level Crossover Switches Cell (CSC9) converter operating in grid connection mode. The proposed method utilizes structure classical finite-control-set MPC (FCS-MPC) technique while integrating cost function that requires no tuning. By deriving based on Lyapunov theory, system stability is ensured. Notably, suggested offers several advantages over traditional controllers. Firstly, it...
In this study, a finite control set-sliding mode controller (FCS-SMC) is applied to grid-connected 9-level Crossover Switches Cell (CSC9) inverter. The proposed technique model-independent, as it selects the actions based on current state variables' errors rather than past values. algorithm optimizes inputs fulfill reaching requirements of two designed cost functions that were derived sliding (SM) theory. Moreover, small permissible capacitor voltage error (hysteresis width h) introduced add...