# Title Team Members TA Documents Sponsor
29 Automatic Drone Wireless Charging Station
Jason Wuerffel
Pranshu Teckchandani
Samuel Fakunle
Matthew Qi design_document1.pdf
# Title
**Automatic Drone Wireless Charging Station**

Team Members:
- Samuel Fakunle (sof2)
- Pranshu Teckchandani (pat4)
- Jason Wuerffel (jasonmw2)

# Problem

Drone technology is becoming more vital for our modern society because it improves productivity and precision for several applications. Despite this, the operation time continues to be a key technological challenge because of the drone’s battery life limitations. As a result, our project aims to address this issue by implementing an automated drone charging system that extends the drone’s flight time without human intervention.

# Solution

Our group aims to use resonant inductive coupling to develop a wireless drone charging station that allows the drone to land and charge its battery within an acceptable distance from the transmitter. In addition, our implementation should allow for efficient charging anywhere or in multiple locations on the charging pad, indicate when sufficient charging has been completed, and should start power transfer only when the drone lands on the pad. We may also add an optional feature where the drone can track back to the pad when low on battery but it is an additional feature we will implement only if time permits.

# Solution Components

## Subsystem 1: DC-AC Converter to Transmission Coil

This inverter is responsible for converting DC power to AC power for the activated transmitting coil

- Circuit consisting of resistors, capacitors, inductors, switches, etc.
- Could use renewable power supply or power bank (undecided)

## Subsystem 2: Transmitting and Receiving Coil for Charging

This subsystem focuses on the coils used in order for contact to be made between the drone and charging station.

- Both coils made of metal (likely aluminum or copper)
- Transmitting coil keeps the drone an adequate distance above the ground and is constrained by the size of the drone
- Receiving coil attached to drone acts as secondary part of transformer
- Charging pad made up of several transmitting coils to allow for no need for precise landing
- Microcontroller will be used to determine the optimal transmitting coil from the transmitting coil array on the charging pad in order to achieve maximum efficiency. This would be done by calculating each coil’s input impedance, and then activating the coil that results in the highest input impedance. The microcontroller will indicate when charging is complete using an LED indicator
- If time permits, we could develop an app that shows charging progress of the drone


## Subsystem 3: AC-DC Converter

This subsystem includes a full bridge rectifying circuit with a low pass filter. Converts AC power from the receiving coil to DC power for the voltage regulator

- Circuit consists of resistors, diodes, capacitors, inductors, etc.

## Subsystem 4: Voltage regulator

This subsystem will be a voltage regulator responsible for supplying regulated DC power to the drone’s battery.

## OPTIONAL(IF TIME PERMITS) - Subsystem 5: Drone Control System

This subsystem includes the sensors that allow the drone to find its way back to the charging station.

- Proximity sensors for drone to know when it is close to charging station
- Low battery indicator
- Tracking tags and camera to detect the charging station

Proximity Sensor -

# Criterion For Success - Base Project

1. Successful Conversion: Converter circuits are able to correctly convert DC to AC and vice versa.
2. Wireless Power Transfer: Charging pad is able to charge the drone efficiently without human intervention. We will have a lower bound for acceptable efficiency.
3. Battery Indicator : The charging pad indicates when the battery is completely charged.
4. Charging only in close proximity: Start charging only when the charging pad detects that the drone is in close proximity.

If do complete the above criteria in time, we will try to accomplish the following:

- (Optional) Navigational Success: Drone is able to navigate to the charging station and dock.

Low Cost Myoelectric Prosthetic Hand

Michael Fatina, Jonathan Pan-Doh, Edward Wu

Low Cost Myoelectric Prosthetic Hand

Featured Project

According to the WHO, 80% of amputees are in developing nations, and less than 3% of that 80% have access to rehabilitative care. In a study by Heidi Witteveen, “the lack of sensory feedback was indicated as one of the major factors of prosthesis abandonment.” A low cost myoelectric prosthetic hand interfaced with a sensory substitution system returns functionality, increases the availability to amputees, and provides users with sensory feedback.

We will work with Aadeel Akhtar to develop a new iteration of his open source, low cost, myoelectric prosthetic hand. The current revision uses eight EMG channels, with sensors placed on the residual limb. A microcontroller communicates with an ADC, runs a classifier to determine the user’s type of grip, and controls motors in the hand achieving desired grips at predetermined velocities.

As requested by Aadeel, the socket and hand will operate independently using separate microcontrollers and interface with each other, providing modularity and customizability. The microcontroller in the socket will interface with the ADC and run the grip classifier, which will be expanded so finger velocities correspond to the amplitude of the user’s muscle activity. The hand microcontroller controls the motors and receives grip and velocity commands. Contact reflexes will be added via pressure sensors in fingertips, adjusting grip strength and velocity. The hand microcontroller will interface with existing sensory substitution systems using the pressure sensors. A PCB with a custom motor controller will fit inside the palm of the hand, and interface with the hand microcontroller.

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