Guided Parafoil System

This project will develop a system for the successful deployment of a small parafoil from a ‘can’ in space or near-space environments using wireless technologies. The wireless communication, command, and control system will be used to initiate parafoil deployment, and to wirelessly provide critical high altitude, low Reynolds number flow measurements from sensors on the parafoil. The system will be tested as part of the University of Idaho Near Space Engineering (Idaho RISE) high altitude balloon program. Applications of this work will eventually be incorporated into the TechEdSat collaborative nano-satellite project underway between the University of Idaho, San Jose State University, University of California at Riverside, and the NASA Ames Research Center in Mountain View, California.

Background


NASA wants to develop an inexpensive on-demand capability to return samples from the International Space Station (ISS). The Small Payload Quick Return (SPQR) system is being developed by NASA Ames Research Center. The SPQR concept relies on a 3-stage method of returning payloads, after being stored until need and loaded on-board the ISS.Deorbit, by means of a unique drag system called an Exo-Brake to de-orbit a small spacecraft payload using atmospheric drag instead of rocket thrusters to reduce speed for atmospheric re-entry. The three stages are:


 * Stage 1: Erection of the Exo-Brake and descent from 350 to 100 km.
 * Stage 2: Deployment of the Tube Deployed Re-entry System (TDRV) from 100 km to 10 km.
 * Stage 3: Deployment of the autonomous, GPS guided parafoil from 10 km to ground/retrieval.

Team GPS is interested only with Stage 3.

Electrical

 * Develop a wireless system to transmit commands to open canister and deploy parafoil.
 * Use Xbee Series 2 radio module to wirelessly collect data from and transmit via the Iridium satellite network down to the ground.
 * Replace altitude switch with a smaller pressure switch.

Mechanical

 * Develop method for deploying and inflating parafoil.

Computer Science

 * Develop a Graphical User Interface to present the data downlinked from the capsule and to uplink commands to the capsule.

Mechanical Engineering

 * The Iridium 9A603 data modems have a mechanical failure during vibration tests, so we should look into other modems to use for Iridium communication.
 * We have an Iridium 9602 modem. The Iridium 9603 is too small to survive the vibration tests when connected to the board, but it is smaller and more efficient than the Iridium 9602. We will likely look into remedying this mechanical failure if we decide to use a similar Iridium modem for the final product.
 * Techniques for deploying, and inflating the parafoil.
 * These techniques will probably include a method for stiffening the parafoil.
 * We will have to run tests on our deployment and inflation system in low pressure atmospheric conditions, so finding a vacuum test chamber will be imperative.
 * Vacuum test chamber must be large enough to house the parafoil and its capsule.
 * Is the design limited to a 3U cube (10cm x 10cm x 30 cm) or will there be more real estate to work with?

Electrical Engineering

 * Miniaturization of the system.
 * By incorporating the sensor boards with the microcontroller.
 * Snowflake currently uses a diaphragm based altitude switch, but we want to use a pressure switch instead to reduce the required size for the electronic subsystems.
 * We will need to find a vacuum test chamber to calibrate the pressure sensors (probably the same chamber we will be using for the parafoil tests).
 * Eventually we will want to shift from XBee-Series 1 to XBee-Series 2 sensors to increase the distance that the sensors can be placed from each other.
 * The current system is based on XBee series 1 chip. We want to switch to the Series 2 chips which utilize a ZigBee network for communication.
 * How accurate of a pressure measurement is required to replace the altitude switch.

Computer Science

 * Language preferences: Java vs Python for graphics.
 * Look into using Gmail Application Programming Interface (API).
 * For parsing diagnostic data downlinked from the capsule.
 * For creating commands to send to the capsule.

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