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Genetic algorithm based fast alignment method for strap-down inertial navigation system with large azimuth

Hongyang He¹, Jiangning Xu¹, Fangjun Qin¹

¹The Department of Navigation, Navy University of Engineering, Wu Han 430033, China.

The Review of Scientific Instruments

|December 3, 2015

Summary

This summary is machine-generated.

This study introduces an optimized compass alignment algorithm for strap-down inertial navigation systems (SINS). The new method uses genetic algorithms and polynomial fitting to improve alignment speed and accuracy, especially for ships.

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Area of Science:

Navigation Systems Engineering
Control Systems Theory
Optimization Algorithms

Background:

Strap-down inertial navigation systems (SINS) require precise compass alignment.
Traditional alignment methods face limitations, particularly for stationary vessels.
Initial misalignment limits can be difficult to meet in moored or anchored scenarios.

Purpose of the Study:

To develop an improved compass alignment algorithm for SINS.
To reduce alignment time and overcome initial misalignment constraints.
To enhance the practicality of SINS alignment for marine applications.

Main Methods:

An optimal model-based, time-varying parameter compass alignment algorithm is proposed.
Genetic algorithms are employed for optimizing compass alignment parameters, replacing traditional trial-and-error.
Least-square polynomial fitting is used to establish the optimal parameter varying model.

Main Results:

The proposed algorithm effectively optimizes compass alignment parameters.
A time-varying parameter model was successfully established.
Experimental validation using a navigational grade fiber optical gyroscope SINS confirmed the method's efficiency.

Conclusions:

The developed algorithm significantly improves SINS compass alignment.
It addresses limitations of traditional methods, offering faster and more reliable alignment.
The approach is validated and suitable for practical SINS applications.