Maximum power point tracking system design with Buck-Boost converter

DC-DC converter is one of the most essential component for efficient utilization in renewable energy sources. The main goal of this paper is to use Maximum power point tracking (MPPT) system and buck-boost DC/DC converter in the photovoltaic (PV) system to maximize the (PV) output power, irrespective of the temperature and irradiation conditions.

Design And Implementation Of Advanced Solar Battery Charging System

The main goal of this search is to design maximum solar power batteries charging system, Maximum power point tracking (MPPT) system is used in the photovoltaic (PV) system consisting of a buck-boost Direct Current DC/DC converter, which is controlled by a microcontroller unit, The microcontroller is programmed with a simple and reliable MPPT called Incremental Conductance (InCond). The designed battery charger was tested, and the results obtained had insured about the permanent control on the battery charging. Comparison study was done, with PWM solar charger controller, it was obvious by The experimental results, that the battery get charged in a very short time period considering of the solar sun light hours per day, and the characteristics of the used solar panel, which confirm the reliable performance of the suggested charging system.

Data Acquisition System Design Using a Microcontroller and Digital Elliptic Filters that are able to Remove Noise from EEG signals

Since Electroencephalogram (EEG) signals have very small magnitude, it's very hard to capture these signals without having noise (produced by surrounding artifacts) affect the real EEG signals, so it is necessary to use Filters to remove noise. This work proposes a design of an electronic circuit using a microcontroller, an instrumentation amplifier and an operational amplifier able to capture EEG signals, convert the captured signals from analog state to digital one and send the converted signal (digital signal) to a group of three digital filters. This paper gives a design of three digital elliptic filters ready to be used in real time filtering of EEG signals (which preliminary represents the condition of the brain) making the software part which complements the hardware part in the EEG signals capturing system. Finally we are going to show the way of using the designed electronic circuit with the three designed digital filters, demonstrate and discuss the results of this work. We have used Eagle 6.6 software to design and draw the circuit, CodeVision AVR 3.12 software to write the program downloaded on the microcontroller, Mathworks MATLAB 2014a software to design the three digital filters and Mathworks MATLAB 2014a Simulink tool to make the appropriate experiments and get the results.