Abstract
A new separation method of guidance instrumentation systematic error of vehicle based on particle swarm optimization (PSO) was proposed. The telemetry environment function matrix is seriously ill-conditioned, which results in the performance degradation of guidance instrumentation systematic error separation. Hereby the problem of guidance instrumentation systematic separation is transformed into an optimization problem and PSO is used to estimate the systematic error coefficients. Furthermore, the guidance instrumentation systematic error is separated from the vehicle trajectory measurement data. The measured data processing results show that the accuracy of the separation of guidance instrumentation systematic error based on PSO is better than that of the traditional Bayesian estimation and principal component estimation methods. The proposed method has practical engineering application value in vehicle test.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Xie, Y.Z.: The research of combining ridge and principal components estimate in separating guidance instrument systematicatic error. J. Proj. Rocket. Missiles Guid. 33(3), 189–191 (2013)
Yang, H.B., Zhang, S.F., Cai, H., Hu, Y.Z.: Modeling and parameters of guidance instrumentation systematicatic error and initial launched parameters error for marine-missile. J. Astronaut. 28(6), 1638–1642 (2017)
Xie, Y.Z., Li, Z.X.: Influence factors of guidance instrumentation systematic error linear model estimation. Aerosp. Control 31(5), 46–49 (2013)
Yao, J., Duan, X.J., Zhou, H.Y.: Modeling and parameters estimation of marine guidance instrumentation systematicatic error. J. Ballist. 17(1), 33–39 (2005)
Luo, S.W., Wei, K.H.: Effect of guidance instrument error on reentry point’s parameters. Inf. Electron. Eng. 3(2), 101–104 (2005)
Chai, X.D., Liu, L.W., Chang, B.X., Jiang, T., Wang, Z.: On a batch matching systematic with impatient servers and boundedly rational customers. Appl. Math. Comput. 354, 308–328 (2019)
Acknowledgement
This work was supported in part by The National Natural Science Foundation of China (61703408, 61801482).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Li, Zx., Wang, Zg., Li, D. (2020). Guidance Instrumentation Systematic Error Separation Method Based on Particle Swarm Optimization. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_53
Download citation
DOI: https://doi.org/10.1007/978-3-030-32456-8_53
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32455-1
Online ISBN: 978-3-030-32456-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)