An Adaptive Level Damped Algorithm Based on PINS for Ship

2013 ◽  
Vol 760-762 ◽  
pp. 2162-2166
Author(s):  
Pei Yu ◽  
Gong Liu Yang

The inertial navigation system error caused by sea current and log error greatly oscillates. In order to evaluate the effectiveness of damping attitude, the vehicles movement should be detected in real-time. For this reason, a novel adaptive level damped algorithm was presented in this paper. According to the characteristics of the movement of the ship, this algorithm has determined when to turn into the damp loop according to the change of acceleration. Theoretical analysis and Simulations results show that the adaptive level damped algorithm could damp most of the Schuler and Foucault oscillations period, and efficiently improve the precision of the PINS on ships.

2012 ◽  
Vol 182-183 ◽  
pp. 1090-1094
Author(s):  
Wei Gao ◽  
Lei Zhang

In inertial navigation system, gyro is used to measure the angular velocity of carrier relative to inertial space for achieve attitude matrix updated in real time. Gyro difficult to eliminate the error, results in strapdown inertial navigation system precision decrease with time. Star sensor is a high-precision attitude measuring instrument and don’t require any priori information, the attitude date can be provided by star sensor. Thus, gyro is simulated by star sensor in order to improve the precision of strapdown inertial navigation system.


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