Search

Three level inverter system produce voltage which consists of three different possible values. Inverter can be used to interface renewable energy sources with the grid. Temperature has significant effect on performance of power MOSFETs. Typically, MOSFET is used as power switch in such applications as it produce heat during operation, and the heat energy dissipated by these components must be carefully controlled if operating temperatures are to be maintained. So for the system to work efficiently, an intelligent cooling of MOSFET is required. This paper proposes an intelligent cooling for three level H-bridge inverter. The system consists of MOSFETs, LM 35 temperature sensor, Opto-couplers. Arduino is used to give trigger pulses to MOSFETs and control the on-off operation of fan. When temperature goes above the predefined level, fan turns on to cool the MOSFETs.

When the upper limb is amputated or lost, a prosthetic device play an important role in rehabilitation. Prosthetics are available in the form of myoelectric devices. These devices work by sensing the Electromyogram (EMG) signals, through electrodes, when the muscles in the upper arm move, this makes an artificial hand to move accordingly. EMG signals cannot be used directly in raw form to control any prosthetic, it needs to be processed before controlling any device. Different techniques are available for processing the EMG signals. Present paper has used the wavelet transform method to obtain the characteristics or features of EMG signals and then fuzzy controller has been applied on those features so that EMG signals can be used to make prosthetic device functional. NI Lab View, an efficient professional mathematical tool, has been used to process the EMG signals. EMG signals are acquired with the help of sensors placed on the skin and Data Acquisition System. Results of the experiment shows that the developed software module is an effective method to process the EMG signals and can be used for prosthetic devices.

This paper represents an Automated Balancing Platform using Arduino Uno(ATmega328 microcontroller). Arduino is a low-cost popular prototyping platform. In this project Arduino Uno is used to process any disturbance and give instruction to balancing mechanism to set its location at the set point. The system consists of Arduino Uno platform, 3 DC motors (12V, 500mA), two L298 (46V, 4A), position controlling mechanism of platform, two degree of freedom robotic arm which is placed on the Automated Balancing platform.