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Longitudinal Guidance Control of Landing Signal Officer Based on Variable Universe Fuzzy Logic

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Business Intelligence and Information Technology (BIIT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 107))

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Abstract

To ensure landing safety of carrier-based aircraft, a guidance control system of the Landing Signal Officer (LSO) based on variable universe fuzzy logic is presented in this paper. After analyzing influence factors during the longitudinal landing process, the glideslope deviation and sink rate deviation are determined as the safety factors. The LSO landing guidance control system characteristic and structure are discussed. Considering the nonlinearity, complexity and fuzziness of decision making behavior, a variable universe fuzzy system is designed to realize the LSO prediction process. Simulation results show that the improved LSO guidance prediction model presented in this paper can simulate the actual decision-making characteristics of LSO, and the output results of the system conform to the deviation correction effect under the real environment.

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References

  1. Rudowsky, T., Cook, S., Hynes, M.: Review of The Carrier Approach Criteria for Carrier-Based Aircraft. Techinical Report NAWCADPAX/TR-2002/71, 52–58, 124–165, USA (2002)

    Google Scholar 

  2. Li, H., Jiang, H.T., Su, X.: Modeling landing signal officer instruction associated with operation guide system. Int. J. Control Autom. 8(2), 373–382 (2015)

    Article  Google Scholar 

  3. Wang, J., Wu, W., Jia, L.: Study and simulation analysis on wave-off capability of carrier-based airplane. Aircr. Des. 30(4), 13–18 (2010)

    Google Scholar 

  4. Duan, Z., Wang, W., Geng, J., He, D.: Precision trajectory manual control technologies for carrier-based aircraft approaching and landing. Acta Aeronaut. Astronaut. Sin. 40(4), 22328 (2019)

    Google Scholar 

  5. Zhu, Q., Yang, Z.: Dynamic recurrent fuzzy neural network-based adaptive sliding control for longitudinal automatic carrier landing system. J. Intell. Fuzzy Syst. 37(1), 53–62 (2019)

    Article  Google Scholar 

  6. Zuo, Z., Wang, L., Liu, H., Wang, Y.: Similarity for simulating automatic carrier landing process of full-scale aircraft with scaled-model. Acta Aeronaut. Astronaut. Sin. 40(12), (2019)

    Google Scholar 

  7. Zhou, J., Jiang, J., Yu, C., Xiao, D.: Carrier aircraft dynamic inversion landing control based on improved neural network. J. Harbin Eng. Univ. 39(10), 1649–1654 (2018)

    Google Scholar 

  8. Hess, R.: Simplified approach for modeling pilot pursuit control behaviour in multi-loop flight control task. Inst. Mech. Eng. 220(2), 85–102 (2006)

    Article  Google Scholar 

  9. Wang, L., Zhu, Q., Zhang, Z., Dong, R.: Modeling pilot behaviors based on discrete-time series during carrier-based aircraft landing. J. Aircr. 53(6), 1922–1931 (2016)

    Article  Google Scholar 

  10. Li, H.: Modeling landing signal officer instruction associated with operation guide system. Int. J. Control Autom. 8(2), 373–382 (2016)

    Article  Google Scholar 

  11. Shi, M., Cui, H., Qu, X.: Modeling landing signal officer for carrier approach. J. Beijing Univ. Aeronaut. Astronaut. 32(2), 135–138 (2016)

    Google Scholar 

  12. Li, H.: Integrated evaluation technology of landing signal officer for carrier-based aircraft. Int. J. Multimedia Ubiquit. Eng. 11(1), 169–178 (2016)

    Article  Google Scholar 

  13. Shi, P., Xu, Z., Wang, S.: Variable universe adaptive fuzzy PID control of active supension. Mech. Sci. Technol. Aerospace Eng. 38(5), 713–720 (2019)

    Google Scholar 

  14. Du, E., Wang, S., Chang, L.: Variable universe fuzzy controller design of missile mark trajectory with feed-forward compensation. J. Acad. Armored Force Eng. 31(2), 84–89 (2017)

    Google Scholar 

  15. Yang, Z., Wang, H.: Maximum power point tracking for photovoltaic power system based on asymmetric fuzzy control. Mech. Autom. 41(2), 153–156 (2012)

    Google Scholar 

  16. Liu, J., Zhang, Y.: Variable universe fuzzy PID control method in piezoelectric ceramic precision displacement system. Autom. Instrum. 32(2), 45–49 (2017)

    Google Scholar 

  17. Li, D., Shi, Z., Li, Y.: Sufficient and necessary nonditions for Boolean fuzzy systems as universal approximators. Inf. Sci. 178(2), 14–24 (2008)

    Article  Google Scholar 

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Acknowledgments

This work is supported by the Natural Science Foundation of Heilongjiang Province of China (No. YQ2020G002), University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province (No. UNPYSCT-2020212), and Science Foundation of Harbin Commerce University (No. 18XN064).

Author information

Authors and Affiliations

  1. Harbin University of Commerce, Harbin, 150028, China

    Ming Zhao, Yang Liu, Hui Li, Yun Cao, Jian Xu & Guilin Yao

  2. Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin, 150028, China

    Ming Zhao, Hui Li, Jian Xu & Guilin Yao

Authors
  1. Ming Zhao
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  2. Yang Liu
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  3. Hui Li
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  4. Yun Cao
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  5. Jian Xu
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  6. Guilin Yao
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Corresponding author

Correspondence to Yun Cao .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, Heilongjiang, China

    Yaoqun Xu

  3. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, Heilongjiang, China

    Zhijie Zhao

  4. Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada

    Sabah Mohammed

  5. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, Heilongjiang, China

    Zhipeng Fan

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Zhao, M., Liu, Y., Li, H., Cao, Y., Xu, J., Yao, G. (2022). Longitudinal Guidance Control of Landing Signal Officer Based on Variable Universe Fuzzy Logic. In: Hassanien, A.E., Xu, Y., Zhao, Z., Mohammed, S., Fan, Z. (eds) Business Intelligence and Information Technology. BIIT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-030-92632-8_82

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