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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.


(a) The velocity of the vehicle; (b) the attitude of the vehicle.
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sensors-15-15006-f010: (a) The velocity of the vehicle; (b) the attitude of the vehicle.

Mentions: To test the performance of the proposed algorithm under the base motion, a sea experiment was conducted in the South Sea of China. In the experiment, the ship was under the mooring condition. A FOG INS was used for the experiment, the attitude reference was given by the Photonic Inertial Navigation System (PHINS) from the company iXBlue. The velocity and attitude of the ship shown in Figure 10 are provided by the PHINS. Fifty experiments were implemented. In the experiments, the start time of coarse alignment was set as: h, where represents the index of the experiments. Algorithm 1 (, optimal value; , regular value [9]), and Algorithm 2 ( , optimal value) 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)

(a) The velocity of the vehicle; (b) the attitude of the vehicle.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-15006-f010: (a) The velocity of the vehicle; (b) the attitude of the vehicle.
Mentions: To test the performance of the proposed algorithm under the base motion, a sea experiment was conducted in the South Sea of China. In the experiment, the ship was under the mooring condition. A FOG INS was used for the experiment, the attitude reference was given by the Photonic Inertial Navigation System (PHINS) from the company iXBlue. The velocity and attitude of the ship shown in Figure 10 are provided by the PHINS. Fifty experiments were implemented. In the experiments, the start time of coarse alignment was set as: h, where represents the index of the experiments. Algorithm 1 (, optimal value; , regular value [9]), and Algorithm 2 ( , optimal value) 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.