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Optimal Parameter Design of Coarse Alignment for Fiber Optic Gyro Inertial Navigation System.

Lu B, Wang Q, Yu C, Gao W - Sensors (Basel) (2015)

Bottom Line: In previous works, integration time is selected by experience.The design process is accomplished based on the analysis of the error characteristics of these two coarse alignment algorithms.The analysis and simulation results show that the parameter provided by this work is the optimal value, and indicate that in different operational conditions, the coarse alignment algorithms adopted for FOG INS are different in order to achieve better performance.

View Article: PubMed Central - PubMed

Affiliation: College of Automation, Harbin Engineering University, Harbin 150001, China. lu_bao_feng@163.com.

ABSTRACT
Two different coarse alignment algorithms for Fiber Optic Gyro (FOG) Inertial Navigation System (INS) based on inertial reference frame are discussed in this paper. Both of them are based on gravity vector integration, therefore, the performance of these algorithms is determined by integration time. In previous works, integration time is selected by experience. In order to give a criterion for the selection process, and make the selection of the integration time more accurate, optimal parameter design of these algorithms for FOG INS is performed in this paper. The design process is accomplished based on the analysis of the error characteristics of these two coarse alignment algorithms. Moreover, this analysis and optimal parameter design allow us to make an adequate selection of the most accurate algorithm for FOG INS according to the actual operational conditions. The analysis and simulation results show that the parameter provided by this work is the optimal value, and indicate that in different operational conditions, the coarse alignment algorithms adopted for FOG INS are different in order to achieve better performance. Lastly, the experiment results validate the effectiveness of the proposed algorithm.

No MeSH data available.


The lab experiment scene.
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sensors-15-15006-f009: The lab experiment scene.

Mentions: To test the performance of the proposed algorithm under the stationary base, a lab experiment was conducted. We fixed the FOG INS (FOG bias stability <0.01 °/h, accelerometer bias stability <5 × 10−5 g) on the SGT-3 three-axis turntable to implement the alignment experiments. The lab experiment scene can be seen in Figure 9. Eight experiments were implemented. In the experiments, the turntable’s middle and internal gimbal axes lay within the horizontal plane, and the external gimbal axis pointed to upward. The external gimbal angle was set as: , where represents the index of the experiments. Algorithm 1 (, optimal value; , regular value [9]), Algorithm 2 (, optimal value), and fine alignment (gyrocompass alignment method) were performed in each experiment.


Optimal Parameter Design of Coarse Alignment for Fiber Optic Gyro Inertial Navigation System.

Lu B, Wang Q, Yu C, Gao W - Sensors (Basel) (2015)

The lab experiment scene.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541819&req=5

sensors-15-15006-f009: The lab experiment scene.
Mentions: To test the performance of the proposed algorithm under the stationary base, a lab experiment was conducted. We fixed the FOG INS (FOG bias stability <0.01 °/h, accelerometer bias stability <5 × 10−5 g) on the SGT-3 three-axis turntable to implement the alignment experiments. The lab experiment scene can be seen in Figure 9. Eight experiments were implemented. In the experiments, the turntable’s middle and internal gimbal axes lay within the horizontal plane, and the external gimbal axis pointed to upward. The external gimbal angle was set as: , where represents the index of the experiments. Algorithm 1 (, optimal value; , regular value [9]), Algorithm 2 (, optimal value), and fine alignment (gyrocompass alignment method) were performed in each experiment.

Bottom Line: In previous works, integration time is selected by experience.The design process is accomplished based on the analysis of the error characteristics of these two coarse alignment algorithms.The analysis and simulation results show that the parameter provided by this work is the optimal value, and indicate that in different operational conditions, the coarse alignment algorithms adopted for FOG INS are different in order to achieve better performance.

View Article: PubMed Central - PubMed

Affiliation: College of Automation, Harbin Engineering University, Harbin 150001, China. lu_bao_feng@163.com.

ABSTRACT
Two different coarse alignment algorithms for Fiber Optic Gyro (FOG) Inertial Navigation System (INS) based on inertial reference frame are discussed in this paper. Both of them are based on gravity vector integration, therefore, the performance of these algorithms is determined by integration time. In previous works, integration time is selected by experience. In order to give a criterion for the selection process, and make the selection of the integration time more accurate, optimal parameter design of these algorithms for FOG INS is performed in this paper. The design process is accomplished based on the analysis of the error characteristics of these two coarse alignment algorithms. Moreover, this analysis and optimal parameter design allow us to make an adequate selection of the most accurate algorithm for FOG INS according to the actual operational conditions. The analysis and simulation results show that the parameter provided by this work is the optimal value, and indicate that in different operational conditions, the coarse alignment algorithms adopted for FOG INS are different in order to achieve better performance. Lastly, the experiment results validate the effectiveness of the proposed algorithm.

No MeSH data available.