Satellite launcher navigation aided by a stochastic model of the vehicle

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Authors
  1. Beaudoin, Y.
  2. Desbiens, A.
  3. Gagnon, É.
  4. Landry, R.jr
Corporate Authors
Defence Research and Development Canada, Valcartier Research Centre, Quebec QC (CAN);Laval Univ, Quebec Que (CAN) Departement de Genie Electrique et de Genie Informatique
Abstract
The navigation system of a satellite launcher is of paramount importance. On a small launcher targeting low orbit, the navigation system may be a significant part of the total mission cost. A trend which is gaining interest is exploiting a model of the vehicle dynamics into the navigation system. Navigation with vehicle dynamics was evaluated on ground vehicles, aircrafts and unmanned helicopters/quadricopters. However, to the knowledge of the authors, navigation aided by the model of the dynamics has not been tested for satellite launchers. Adding the vehicle dynamics knowledge into the navigation system can be as simple as adding non-holonomicity constraints or it may need a complete model of the vehicle dynamics. In this paper, a simple stochastic model that represents the angular velocity and acceleration as random walks with known driving noise variances, which are based on the vehicle dynamics, is exploited. The estimated values are then updated with the gyroscope and accelerometer measurements. The results show that the attitude, velocity and position estimates are barely improved. However, the angular velocity and acceleration estimation errors are reduced significantly. Also, the proposed solution does not require special maneuvers to ensure the observability of the navigation model. To illustrate the advantage of the proposed approach, the improved angular velocity estimates are exploited in the control function instead of the raw gyroscope measurements to significa
Keywords
GPS (Global Positioning System);INS (Inertial Navigation System);Navigation;Vehicle Dynamics;Data Fusion
Report Number
DRDC-RDDC-2018-N095 — External Literature
Date of publication
01 Jul 2018
Number of Pages
15
DSTKIM No
CA046776
CANDIS No
807371
Format(s):
Electronic Document(PDF)

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