Inertial Navigation Using Dead-Reckoning and Distributed Sensing
Department
Mechanical and Aerospace Engineering
Major
Aerospace Engineering
Research Advisor
DeMars, Kyle J.
Advisor's Department
Mechanical and Aerospace Engineering
Funding Source
Opportunities for Undergraduate Research Experience (OURE)
Abstract
This project will be focused on developing and testing algorithms for implementing a strap down (rigidly attached) inertial measurement unit (IMU) for obtaining a statistical quantification regarding the state of a vehicle. The algorithm to be studied propagates the spacecraft state's statistics by using a model of the gravitational acceleration and using the IMU to provide a measure of all non-gravitational accelerations and angular motions imparted to the spacecraft. This procedure is referred to as dead-reckoning. In addition to propagating the state of a vehicle using dead-reckoning, multiple sensors will be fused together to average their data in order to improve the accuracy of the sensor. This procedure is referred to as distributed sensing. The data will be averaged in multiple different ways algorithmically, in order to optimize computational power and accuracy.
Biography
Samuel Haberberger is a senior in the aerospace department at Missouri University of Science and Technology. He is involved with multiple on campus research groups; the Missouri S&T Satellite Team (MSAT) and a student research assistant of Dr. DeMars. For MSAT, he is the current lead of the Integration subsystem, which holds the responsibility of bringing all of the subsystems together and to test the system as a whole. He is also the support lead in the GN&C (Guidance Navigation and Control) which holds the responsibility of testing and interfacing the IMU with the satellite’s system. His research area under Dr. DeMars lies in the area of distributed sensing, along with state propagation of aerospace vehicles using an IMU as data input.
Research Category
Engineering
Presentation Type
Poster Presentation
Document Type
Poster
Location
Upper Atrium/Hall
Presentation Date
16 Apr 2014, 1:00 pm - 3:00 pm
Inertial Navigation Using Dead-Reckoning and Distributed Sensing
Upper Atrium/Hall
This project will be focused on developing and testing algorithms for implementing a strap down (rigidly attached) inertial measurement unit (IMU) for obtaining a statistical quantification regarding the state of a vehicle. The algorithm to be studied propagates the spacecraft state's statistics by using a model of the gravitational acceleration and using the IMU to provide a measure of all non-gravitational accelerations and angular motions imparted to the spacecraft. This procedure is referred to as dead-reckoning. In addition to propagating the state of a vehicle using dead-reckoning, multiple sensors will be fused together to average their data in order to improve the accuracy of the sensor. This procedure is referred to as distributed sensing. The data will be averaged in multiple different ways algorithmically, in order to optimize computational power and accuracy.
