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Wind Aided Aerodynamic Characteristics in the Quadcopter UAV Control Modeling

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1712))

Abstract

Quadcopter UAVs are always exposed to time-varying winds in the flight process, which makes it much more challenging to be detected and recognized by radar systems. Conventional solutions are to estimate and reject the wind aided adverse impacts, while in this paper we regard the wind aided aerodynamic characteristics as prior environmental information rather than disturbance. In particular, we establish a Matlab Simulink based quadcopter UAV control model in wind environment which is composed of wind shear, turbulence and gusts, and investigate the wind aided velocity and Doppler frequency fluctuations in a modeling and simulation way since the wind aided aerodynamic characteristics of the quadcopter UAV are difficult to be described in mathematical expressions. The simulation results reveal that: (1) the wind gusts are the primary components for the velocity and Doppler frequency fluctuations; (2) the impacts of wind turbulence are negligible due to the quad-copter UAVs’ wind resistance capability; (3) the impacts of the wind shear can be transformed between horizontal and vertical dimensions as a consequence of the coupling effect.

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References

  1. Liu, Y., Dai, H.-N., Wang, Q., Shukla, M.K., Imran, M.: Unmanned aerial vehicle for internet of everything: opportunities and challenges. Comput. Commun. 155, 66–83 (2020)

    Article  Google Scholar 

  2. Chamola, V., Kotesh, P., Agarwal, A., Gupta, N., Guizani, M.: A comprehensive review of unmanned aerial vehicle attacks and neutralization techniques. Ad Hoc Netw. 111, 102324 (2021)

    Article  Google Scholar 

  3. Lyu, C., Zhan, R.: Global analysis of active defense technologies for unmanned aerial vehicle. IEEE Aerosp. Electron. Syst. Mag. 37(1), 6–31 (2022)

    Article  Google Scholar 

  4. Pisa, S., et al.: Evaluating the radar cross section of the commercial IRIS drone for anti-drone passive radar source selection. In: 22nd International Microwave and Radar Conference, Poznan, Poland , pp. 699–703 (2018)

    Google Scholar 

  5. Basak, S., Rajendran, S., Pollin, S., Scheers, B.: Combined RF-based drone detection and classification. IEEE Trans. Cognit. Commun. Netw. 8(1), 111–120 (2022)

    Article  Google Scholar 

  6. Taha, B., Shoufan, A.: Machine learning-based drone detection and classification: state-of-the-art in research. IEEE Access 7, 138669–138682 (2019)

    Article  Google Scholar 

  7. Li, Y., Fu, M., Sun, H., Deng, Z., Zhang, Y.: Radar-based UAV swarm surveillance based on a two-stage wave path difference estimation method. IEEE Sens. J. 22(5), 4268–4280 (2022)

    Article  Google Scholar 

  8. M. Ezuma, C. K. Anjinappa, M. Funderburk and I. Guvenc: Radar cross section based statistical recognition of UAVs at microwave frequencies. IEEE Trans. Aerosp. Electron. Syst. 58(1), 27–46 (2022)

    Article  Google Scholar 

  9. Wu, K., Fan B., Zhang, X.: Trajectory following control of UAVs with wind disturbance. In: 36th Chinese Control Conference, Dalian, China , pp. 4993–4997 (2017)

    Google Scholar 

  10. Hou, Y., Huang, W., Zhou, H., Gu, F., Chang, Y., He, Y.: Analysis on wind resistance index of multi-rotor UAV. In: Chinese Control And Decision Conference, Nanchang, China, pp. 3693–3696 (2019)

    Google Scholar 

  11. Haidong, Z., Qiuyu, C., Chongfa, Z., Yajie, D., Yufeng, M., Jun, Y.: Stability research of quadcopter UAV under unstable wind. In: IEEE 7th International Conference on Control Science and Systems Engineering, Qingdao, China, pp. 114–118 (2021)

    Google Scholar 

  12. Tegicho, B., Geleta, T., Bogale, T., Eroglu, A., Edmonson, W., Bitsuamlak, G.: Effect of wind on the connectivity and safety of large scale UAV swarms. In: IEEE International Black Sea Conference on Communications and Networking, Bucharest, Romania, pp. 1–6 (2021)

    Google Scholar 

  13. Azid, S.I., Kumar, K., Cirrincione, M., Fagiolini, A.: Robust motion control of nonlinear quadrotor model with wind disturbance observer. IEEE Access 9(1), 149164–149175 (2021)

    Article  Google Scholar 

  14. U.S. Military Specification MIL-F-8785C, 5 November (1980)

    Google Scholar 

  15. Quan, Q.: Introduction to Multicopter Design and Control. Springer, Singapore (2017)

    Book  Google Scholar 

Download references

Acknowledgements

This work was supported in part by National Social Science Foundation of China (Grant No. 2019-SKJJ-C-063).

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Correspondence to Wei Cao .

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Cao, W., Liu, X., Yu, P., Xu, X., Zhang, J. (2022). Wind Aided Aerodynamic Characteristics in the Quadcopter UAV Control Modeling. In: Fan, W., Zhang, L., Li, N., Song, X. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2022. Communications in Computer and Information Science, vol 1712. Springer, Singapore. https://doi.org/10.1007/978-981-19-9198-1_28

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  • DOI: https://doi.org/10.1007/978-981-19-9198-1_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9197-4

  • Online ISBN: 978-981-19-9198-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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