# Title Team Members TA Documents Sponsor
41 Wind turbine phone charger
Charles Hummel
Kemal Ercikti
Sachin Reddy
Dongwei Shi design_review
Group members: Charles Hummel chummel2
Emre Ercikti ercikti2
Sachin Reddy ssreddy2

A small wind turbine with a total height of half a meter will be used to generate AC power which will be converted to DC power. The DC power will charge (ideally) a removable battery pack that would have an output for charging a phone.

Solar phone chargers are great but they do not work when there is no direct sunlight. This turbine will fill that gap.

For this project we will:

1. Create power electronics that will convert the AC power to DC.

a) This circuitry will also include protection measures such as short-circuit protection

2. Implement sensors that detect wind speed and direction and software that will suggest optimal turbine turbine orientation.

3. Using the sensors implement, a cut-off mechanism to keep the generator and/or power electronics from being damaged from excessive wind speeds.

4. To scale the project's difficulty we would design our own battery pack using SLA's and implement a battery management system as well.

The mounting system will be a removable strap that would let the user secure the turbine as well as holes in the base that pegs could fit through to secure to the ground if need be.

VoxBox Robo-Drummer

Craig Bost, Nicholas Dulin, Drake Proffitt

VoxBox Robo-Drummer

Featured Project

Our group proposes to create robot drummer which would respond to human voice "beatboxing" input, via conventional dynamic microphone, and translate the input into the corresponding drum hit performance. For example, if the human user issues a bass-kick voice sound, the robot will recognize it and strike the bass drum; and likewise for the hi-hat/snare and clap. Our design will minimally cover 3 different drum hit types (bass hit, snare hit, clap hit), and respond with minimal latency.

This would involve amplifying the analog signal (as dynamic mics drive fairly low gain signals), which would be sampled by a dsPIC33F DSP/MCU (or comparable chipset), and processed for trigger event recognition. This entails applying Short-Time Fourier Transform analysis to provide spectral content data to our event detection algorithm (i.e. recognizing the "control" signal from the human user). The MCU functionality of the dsPIC33F would be used for relaying the trigger commands to the actuator circuits controlling the robot.

The robot in question would be small; about the size of ventriloquist dummy. The "drum set" would be scaled accordingly (think pots and pans, like a child would play with). Actuators would likely be based on solenoids, as opposed to motors.

Beyond these minimal capabilities, we would add analog prefiltering of the input audio signal, and amplification of the drum hits, as bonus features if the development and implementation process goes better than expected.

Project Videos