1. Distributed & Scalable IMU
Members: Michael Shea and Alan Lu
Mentor: David Hanley

2. IMU’s and a the Distributed and Scalable Model
IMU = Inertial Measurement Units
Typically a packaged set of 3-axis accelerometers and 3 axis gyroscopes
Distributed = Arbitrarily placed sensors
Scalable = Arbitrary number of sensors
Why?
Systems leverage redundant sensors for fault detection
Reduction of total noise of outputs
Reduction of cost, size, weight, etc.
Allan variance analysis
quantization noise, angle random walk, bias instability, rate random walk, and rate ramp

3. What we have been working on…

4. What we have been working on…
Creating schematics of hardware
Generating a comprehensive spreadsheet of different accelerometers/gyroscopes
Potential purchases
Developing a model of the market

5. Future Goals and What we plan to Accomplish
Iterations with Different types of IMU’s, Accelerometers, and Gyroscopes
Go from module design to more specific chip design
Research and Implement electronic filters that will enable the best sensor results that are listed on their data sheets