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

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10CD49P
Agency Tracking Number: 094599
Amount: $99,408.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2009
Solicitation Topic Code: O4.05
Solicitation Number: N/A
Small Business Information
200 Canal View Blvd., Rochester, NY, 14623-2893
DUNS: 073955507
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Liang Tang
 Principal Investigator
 (585) 424-1990
Business Contact
 Carol Marquardt
Title: Business Official
Phone: (585) 627-1923
Email: carol.marquardt@impact-tek.com
Research Institution
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.

* Information listed above is at the time of submission. *

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