Distributed & Scalable IMU Members: Michael Shea and Alan Lu Mentor: David Hanley
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
What we have been working on…
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
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