A Novel Image Edges Detection by Using Gaussian Functions

Nowadays, the Edge detection is a very important process and treatments in biomedical image's application to the understanding and analysis of distinction objects in digital images. Edge detection is discontinuity or sudden change process of certain visual properties (such as the intensity of lighting, composition, color). In this study, edge detected of digital color images using a Gaussian function was proposed. First, the least squares' method used to compress the image data. Second, color image edge detected by using Sobel's operator by changing the intensity of homogeneous regions. Finally, the result shows the effectiveness and capability of the proposed to detect the real edges in color photographs with different color compared with standard methods to detect the edge

Development of Variable Frequency Drive for Compact Three Phase Induction Motor using Discrete Components

The electric drive systems used in industrial application are enabling to increase the dynamic performance and reliability requirement. Nowadays, most of the home appliances and process industries use three-phase induction motor (TPIM) because they are simple and low cost and easy to maintain. Actually, these kinds of application do not require precise speed control using FPGA or microcontroller since there are low-performance types. This paper represents the design and development of low cost variable frequency drive (VFD) system for three-phase induction motor. Step-by-step in generating SPWM switching signal using different simple discrete components are explained thoroughly. The software used to design the SPWM and driver circuits are Multisim and Proteus. After simulation done, all the circuits are soldered appropriately and tested using oscilloscope. In addition, the study of relationship between speeds (rpm) with various frequencies is also thoroughly discussed. The type of induction motor used was three-phase squirrel cage induction motor model EM5001-3G. The speed of the motor was measured in RPM using industrial grade rotary encoder. So, overall experiment shows that this VFD made of discrete components are really can drive three-phase induction motor at low cost, easy to maintenance and do not require any specialist to repair it. Moreover, it does not require any programming or coding to build. This system also is simple because only used discrete electronic components which are widely available in market with extensive application notes which can be downloadable as free. This VFD drive system can be used for educational purposes where students can get an insight into three-phase inverter and they can design, build and testing the system by themselves

Developing Analog PWM Inverter for Induction Motor Control

This switch-based power converter analog implementation is developed based on sinusoidal-PWM technique(SPWM). Center-aligned triangle is compared with 3-phase sinusoidal waves to produced SPWM signals; switching six (6) IGBTs SKM200GB123D for 3-phase induction motor inverter module. Op-amp, passive components and IR2130 bridge driver are used. The circuit is tested with slowly increased 80Vdc and manually adjustable carrier frequency capable to operate tested induction motor at rated speed. SPWM inverter has improves power efficiency of the induction motor

Flywheel Energy Storage for Wind Energy System with SEIG-Motor Set

Intermittent wind energy in producing optimal power flow could lead to unstable generated power. Due to this, an energy storage that can release and absorb energy need to be used in order maintains the generated voltage at the permitted quality for the load. Nowadays, tons of energy storage systems are used in storing the energy. Flywheel energy storage system (FESS) becomes one of potential mechanism that can be used to smooth the voltage output of wind turbine due to its advantages. The aim of this study is to design and implement a FESS for critical load in a wind energy system that can store energy for a short time period. Then, period of the voltage generated by FESS using different capacitance is analyzed. FESS consists of a self-excited capacitance induction motor-generator set (SEIG), controller circuit and flywheel rotor. In this study, a three phase asynchronous induction machine is used as a motor-generator due to its simplicity, cheap, robust and less maintenance. The flywheel and SEIG-motor set could store the energy for a short period of time, which can be used to compensate for wind instability. Results show that FESS generates variable powers that compensate short time power to the wind system

Optimum Solar Panel Implementation Using DC-DC Boost Converter Controlled by Fuzzy Logic Controller

This paper proposes the implementation of a simple fuzzy logic controller (FLC) for a DC-DC boost converter based on a microcontroller to obtain maximum power from the solar system with the maximum power point tracking (MPPT) method. The system includes a solar panel, DC-DC boost converter, the fuzzy logic controller implemented on Arduino Uno for controlling on/off time of MOSFET of the boost converter, voltage divider and optocoupler circuit. This paper presents a fuzzy logic real time code in the Arduino language for ATmega328 microcontroller on the Arduino UNO board. The designed system increases the efficiency of the solar panel based on experimental results

Modelling of Photovoltaic Module Using Matlab Simulink

Photovoltaic (PV) module consists of numbers of photovoltaic cells that are connected in series and parallel used to generate electricity from solar energy. The characteristics of PV module are different based on the model and environment factors. In this paper, simulation of photovoltaic module using Matlab Simulink approach is presented. The method is used to determine the characteristics of PV module in various conditions especially in different level of irradiations and temperature. By having different values of irradiations and temperature, the results showed the output power, voltage and current of PV module can be determined. In addition, all results from Matlab Simulink are verified with theoretical calculation. This proposed model helps in better understanding of PV module characteristics in various environment conditions

Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances

The nonlinearity of solar irradiation and temperature leads to unstable photovoltaic (PV) outputs and decrease in efficiency. A method based on experimental study is developed to maximize the output of the PV panels using the combination of PV cooling system and fuzzy logic, fuzzy logic (FL)-based constant voltage (CV) maximum power point tracking (MPPT) algorithm. The PV cooling system reduces the PV panel temperature to the optimum temperature, while the FL-based CV MPPT algorithm tracks the maximum power of the PV panel. Experimental results showed that the combination of the two methods in a PV system results in improving the photovoltaic performances. Thus, the PV panel outputs increase when the PV panel works at its optimum temperature. This integrated FL-based CV MPPT controller proves the effectiveness in improving PV performances for any weather condition