Sencer Unal

Sensorless control of the permanent magnet synchronous motor using neural networks

In this paper, a neural network based rotor position control and speed estimation method for permanent magnet synchronous motor (PMSM) is proposed. The proposed method has three recurrent neural networks. They are used for estimating stator current, rotor speed, and rotor position angle. Each of them is trained in two steps: off-line training for learning dynamic of PMSM and on-line training for realizing parameter adaptation of PMSM. Sensorless control of the permanent magnet synchronous motor using neural networks is simulated in Matlab/Simulink.

An online electric power quality disturbance detection system

In this study, an FPGA based online monitoring system was developed for detection of power quality disturbances. The developed system has the capability to instantly detect commonly seen PQ disturbances such as voltage sag, voltage swell and interruption occurring on real-time three-phase voltage signals obtained from the electric power system. The data of the detected disturbance events are transferred to the visual software prepared in the computer environment by means of the UDP/IP communication module embedded in the FPGA. This PQ disturbance detection system was tested upon installation at three different measuring points across the campus of Tunceli University. It was seen from the test results examined that the detection system successfully identified the PQ disturbance events.

Simulation of a photovoltaic panels by using Matlab/Simulink

In recent years, it is getting attention for renewable energy sources such as solar energy, fuel cells, batteries or ultracapacitors for distributed power generation systems. This paper proposes a general mathematical model of solar cells and Matlab/Simulink software based simulation of this model has been visually programmed. Proposed model can be used with other hybrid systems to develop solar cell simulations. Also, all equations are performed by using Matlab/Simulink programming.

An FPGA based power quality monitoring system

In this study, a new FPGA based monitoring system has been developed for monitoring the power quality. Designed system performs the calculations of power quality parameters on real-time voltages and currents datas that are obtained from the network. FPGA devices that have recently become more popular in digital signal processing field is used in the structure of monitoring system. Designed power quality monitoring system has been established on electrical distribution panels of Tunceli University Vocational Schools. When the obtained test results are evaluated, it has been observed that the proposed power quality monitoring system is successful.

Comparative analysis of maximum power point tracking methods for rapid environmental changes

Growing demand for energy increases the importance of renewable energy sources every day. In renewable energy sources, solar energy has an important place. Studies related to increasing the efficiency of the PV panels have gained great importance in recent years. Studies related maximum power point tracking (MPPT) techniques are also included in this study. Large number of studies have been made regarding techniques MPPT and large numbers of MPPT techniques has been used. In this study, MATLAB / Simulink simulations have been carried out and the most important MPPT techniques have been analyzed. PV panel, dc/dc buck-boost converter and MPPT block were modeled in Matlab / Simulink. Insolation and temperature values in order to perform the simulation for rapid environmental changes have been entered to PV panels. Simulations were performed for each MPPT method and the simulation results were compared.