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Foundations and Applications of Intelligent Systems pp 347–357Cite as

Trajectory Tracking Method for UAV Based on Intelligent Adaptive Control and Dynamic Inversion

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 213))

Abstract

This paper discusses the flight control strategy based on intelligent adaptive control and dynamic inversion. The primary use of the Optimal Control Modification (OCM) adaptive control is to add damping to the neural network controller weight update law so as to reduce high-frequency oscillations in the weights and to prevent parameter drift in the absence of persistent excitation. The OCM is applied to the inner loop control of an UAV during flight conditions to investigate its flight control augmentation capability to a dynamic inversion (DI) controller subject to off-nominal flight conditions.

This work was supported by the National Basic Research Program of China (973 Program) (2012CB720000), the National Natural Science Foundation of China (61225015,60974011), the PhD Programs Foundation of Ministry of Education of China (20091101110023, 20111101110012), and Beijing Municipal Natural Science Foundation (4102053, 4101001).

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Author information

Authors and Affiliations

  1. School of Automation, Beijing Institute of Technology, Beijing, 100081, China

    Juan Dai & Yuanqing Xia

Authors
  1. Juan Dai
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  2. Yuanqing Xia
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Corresponding author

Correspondence to Juan Dai .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, People's Republic of China

    Fuchun Sun

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, People's Republic of China

    Tianrui Li

  3. Department of Computer Science and Techn, Tsinghua University, Beijing, People's Republic of China

    Hongbo Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Dai, J., Xia, Y. (2014). Trajectory Tracking Method for UAV Based on Intelligent Adaptive Control and Dynamic Inversion. In: Sun, F., Li, T., Li, H. (eds) Foundations and Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37829-4_29

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  • DOI: https://doi.org/10.1007/978-3-642-37829-4_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37828-7

  • Online ISBN: 978-3-642-37829-4

  • eBook Packages: EngineeringEngineering (R0)

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