Skip Navigation
Small Business Innovation Research/Small Business Tech Transfer

A Light Weight, Mini Inertial Measurement System for Position and Attitude Estimation on Dynamic Platforms

Completed Technology Project
671 views

Project Description

A Light Weight, Mini Inertial Measurement System for Position and Attitude Estimation on Dynamic Platforms
Impact Technologies, LLC in collaboration with the Rochester Institute of Technology, proposes to develop an innovative and revolutionary method for a miniature low cost, weight, and power, highly accurate INS system coupled with GPS receivers providing stable and highly accurate positioning, attitude, and inertial measurements while being subjected to highly dynamic maneuvers. In contrast to conventional methods that utilize extensive ground-based real-time tracking and control units that are expensive, large, and require excessive amounts of power to operate, our method focuses on the development of a highly-accurate attitude estimator that makes use of a low cost, miniature accelerometer array fused with traditional measurement systems and GPS. Through the utilization of a position tracking estimation algorithm, on-board accelerometers are numerically integrated and transformed using attitude information to obtain an estimate of position in the inertial frame. Position and velocity estimates are subject to drift due to accelerometer sensor bias and high vibration over time, and therefore require the integration with GPS information using a Kalman filter to provide highly accurate and reliable inertial tracking estimations. The development of such technology is required for the enablement of the proposed highly accurate attitude estimator that is a primary focus of this proposed work. More »

Anticipated Benefits

Primary U.S. Work Locations and Key Partners

Technology Transitions

Light bulb

Suggest an Edit

Recommend changes and additions to this project record.

This is a historic project that was completed before the creation of TechPort on October 1, 2012. Available data has been included. This record may contain less data than currently active projects.

^