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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.


Roll error of the eight simulations.
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sensors-15-15006-f008: Roll error of the eight simulations.

Mentions: To test the effect of initial velocity on Algorithm 2, simulations under the condition of linear motion were conducted. The simulation for the coarse alignment ran eight times. In linear movement, the velocities are taken as:vxb=0.02cos(2πt/7+ϑ) m/svyb=0.03cos(2πt/6+ϑ) m/svzb=0.3cos(2πt/8+ϑ) m/swhere , , and represent the components of Earth referenced by velocity resolved in the body frame , is set to , and denotes the index of the simulations, . The simulation results are provided in Figure 6, Figure 7 and Figure 8.


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

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

Roll error of the eight simulations.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-15006-f008: Roll error of the eight simulations.
Mentions: To test the effect of initial velocity on Algorithm 2, simulations under the condition of linear motion were conducted. The simulation for the coarse alignment ran eight times. In linear movement, the velocities are taken as:vxb=0.02cos(2πt/7+ϑ) m/svyb=0.03cos(2πt/6+ϑ) m/svzb=0.3cos(2πt/8+ϑ) m/swhere , , and represent the components of Earth referenced by velocity resolved in the body frame , is set to , and denotes the index of the simulations, . The simulation results are provided in Figure 6, Figure 7 and Figure 8.

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.