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Robust transition trajectory optimization for tail-sitter UAVs considering uncertainties

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Conclusion

In this study, the robust transition trajectory optimization was conducted for tail-sitter UAVs. The correlated stochastic uncertainties are different from existing deterministic optimal transition studies and are considered for the first time. Simulation results show that the robustness of the derived transition trajectories is improved. In the future, we will study more complicated unknown uncertainties. In addition, the robust control law for the tail-sitter transition phases will also be studied.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 62073185, 61903216, 61973182).

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Authors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

    Yunjie Yang & Xiaming Yuan

  2. Institute for Aero Engine, Tsinghua University, Beijing, 100084, China

    Xiangyang Wang

  3. Department of Precision Instrument, Tsinghua University, Beijing, 100084, China

    Jihong Zhu

Authors
  1. Yunjie Yang
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  2. Xiangyang Wang
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  3. Jihong Zhu
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  4. Xiaming Yuan
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Corresponding author

Correspondence to Xiangyang Wang.

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Appendixes A–D. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Yang, Y., Wang, X., Zhu, J. et al. Robust transition trajectory optimization for tail-sitter UAVs considering uncertainties. Sci. China Inf. Sci. 66, 169201 (2023). https://doi.org/10.1007/s11432-020-3257-x

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  • DOI: https://doi.org/10.1007/s11432-020-3257-x