Abstract
An integrated inertial/celestial navigation system (INS/CNS) has wide applicability in lunar rovers as it provides accurate and autonomous navigational information. Initialization is particularly vital for a INS. This paper proposes a two-position initialization method based on a standard Kalman filter. The difference between the computed star vector and the measured star vector is measured. With the aid of a star sensor and the two positions, the attitudinal and positional errors can be greatly reduced, and the biases of three gyros and accelerometers can also be estimated. The semi-physical simulation results show that the positional and attitudinal errors converge within 0.07″ and 0.1 m, respectively, when the given initial positional error is 1 km and the attitudinal error is 10°. These good results show that the proposed method can accomplish alignment, positioning and calibration functions simultaneously. Thus the proposed two-position initialization method has the potential for application in lunar rover navigation.
| Original language | English |
|---|---|
| Article number | 125102 |
| Journal | Measurement Science and Technology |
| Volume | 27 |
| Issue number | 12 |
| DOIs | |
| State | Published - 25 Oct 2016 |
Keywords
- IMU calibration
- INS/CNS
- initialization
- positioning
- two-position alignment
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