Technical Papers
Jan 19, 2024

Integrated Guidance and Control Scheme for Unmanned Aerial Vehicle with Unknown Control Coefficient Accommodating Approach Angle and Field-of-View Constraints

Publication: Journal of Aerospace Engineering
Volume 37, Issue 3

Abstract

This paper investigates the issue of integrated guidance and control (IGC) design for an unmanned aerial vehicle with an unknown control coefficient, approach angle constraint, and field-of-view limitations. Different from the existing methods, the proposed approach integrates the approach angle and field-of-view requirements into a single reference to satisfy the constraints simultaneously, and meanwhile guarantees the successful mission despite the unknown control coefficient. Based on the established IGC model, a novel sliding mode strategy is generated to ensure that the approach angle and field-of-view constraints can be obeyed once the designed reference is tracked precisely. Then, the IGC issue are transformed into a tracking problem under an unknown control direction, and the periodic sliding mode control technique is introduced to construct the IGC law. The stability of the closed-loop system is analyzed in detail. The effectiveness of the proposed method is verified by numerical simulations.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 92271109, 52272404, and 61973254), in part by Natural Science Foundation of Ningbo (Program No. 2021J045), and in part by the Fundamental Research Funds for the Central Universities.

References

Alvear, O. A., N. P. Zema, E. Natalizio, and C. T. Calafate. 2017. “A chemotactic pollution-homing UAV guidance system.” In Proc., 2017 13th Int. Wireless Communications and Mobile Computing Conference (IWCMC), 2115–2120. New York: IEEE.
Bao, C., P. Wang, and G. Tang. 2021. “Integrated method of guidance, control and morphing for hypersonic morphing vehicle in glide phase.” Chin. J. Aeronaut. 34 (5): 535–553. https://doi.org/10.1016/j.cja.2020.11.009.
Cao, Z., X. Chen, Y. Yu, J. Yu, and M. Tan. 2017. “Image dynamics-based visual servoing for quadrotors tracking a target with a nonlinear trajectory observer.” IEEE Trans. Syst. Man Cybern. Syst. 50 (1): 376–384. https://doi.org/10.1109/TSMC.2017.2720173.
Chen, W., C. Wen, and J. Wu. 2018. “Global exponential/finite-time stability of nonlinear adaptive switching systems with applications in controlling systems with unknown control direction.” IEEE Trans. Autom. Control 63 (8): 2738–2744. https://doi.org/10.1109/TAC.2018.2791346.
Ding, C., and R. Wei. 2022. “Low-complexity tracking control for p-normal form systems using a novel Nussbaum function.” IEEE Trans. Autom. Control 67 (5): 2640–2647. https://doi.org/10.1109/TAC.2021.3088413.
Fan, B., Q. Yang, S. Jagannathan, and Y. Sun. 2019. “Output-constrained control of nonaffine multiagent systems with partially unknown control directions.” IEEE Trans. Autom. Control 64 (9): 3936–3942. https://doi.org/10.1109/TAC.2019.2892391.
Guo, J., Q. Peng, and J. Zhou. 2019. “Disturbance observer-based nonlinear model predictive control for air-breathing hypersonic vehicles.” J. Aerosp. Eng. 32 (1): 04018121. https://doi.org/10.1061/(ASCE)AS.1943-5525.0000948.
Guo, J., S. Yang, and Z. Guo. 2021. “Robust tracking for hypersonic vehicles subjected to mismatched uncertainties via fixed-time sliding mode control.” Proc. Inst. Mech. Eng., Part G: J. Aerosp. Eng. 235 (14): 2145–2153. https://doi.org/10.1177/0954410021990239.
Guo, Z., T. R. Oliveira, J. Guo, and Z. Wang. 2022a. “Performance-guaranteed adaptive asymptotic tracking for nonlinear systems with unknown sign-switching control direction.” IEEE Trans. Autom. Control 68 (2): 1077–1084. https://doi.org/10.1109/TAC.2022.3144661.
Guo, Z., X. Yang, G. Hu, J. Guo, and G. Wang. 2022b. “Integrated guidance and control strategy with constraints of impact angle and field of view.” [In Chinese.] J. Astronaut. 43 (12): 1676–1685.
Han, T., Q. Hu, and M. Xin. 2022. “Three-dimensional approach angle guidance under varying velocity and field-of-view limit without using line-of-sight rate.” IEEE Trans. Syst. Man Cybern. Syst. 52 (11): 7148–7159. https://doi.org/10.1109/TSMC.2022.3150299.
Huang, L., X. Qu, and Y. Fang. 2021. “Integrated guidance and control design for spiral maneuvering missile with multiple constraints.” [In Chinese.] J. Astronaut. 42 (9): 1108–1118.
Levant, A. 2003. “Higher-order sliding modes, differentiation and output-feedback control.” Int. J. Control 76 (9–10): 924–941. https://doi.org/10.1080/0020717031000099029.
Oliveira, T. R., L. Hsu, and A. J. Peixoto. 2011. “Output-feedback global tracking for unknown control direction plants with application to extremum-seeking control.” Automatica 47 (9): 2029–2038. https://doi.org/10.1016/j.automatica.2011.05.021.
Oliveira, T. R., A. J. Peixoto, and L. Hsu. 2010. “Sliding mode control of uncertain multivariable nonlinear systems with unknown control direction via switching and monitoring function.” IEEE Trans. Autom. Control 55 (4): 1028–1034. https://doi.org/10.1109/TAC.2010.2041986.
Rehman, W. U., X. Wang, S. Wang, and I. Azhar. 2017. “Motion synchronization of HA/EHA system for a large civil aircraft by using adaptive control.” In Proc., 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 1486–1491. New York: IEEE.
Tian, B., Z. Li, S. Wu, and Q. Zong. 2020. “Reentry trajectory optimization, guidance and control methods for reusable launch vehicles: Review.” [In Chinese.] Acta Aeronaut. Astronaut. Sin. 41 (11): 624072.
Wang, J., L. Liu, T. Zhao, and G. Tang. 2016. “Integrated guidance and control for hypersonic vehicles in dive phase with multiple constraints.” Aerosp. Sci. Technol. 53 (Jun): 103–115. https://doi.org/10.1016/j.ast.2016.03.019.
Zhang, J., and G. Yang. 2019. “Low-complexity tracking control of strict-feedback systems with unknown control directions.” IEEE Trans. Autom. Control 64 (12): 5175–5182. https://doi.org/10.1109/TAC.2019.2910738.
Zhang, Q. 2021. “Approach-angle-based three-dimensional indirect adaptive fuzzy path following of under-actuated AUV with input saturation.” Appl. Ocean Res. 107 (1): 102486. https://doi.org/10.1016/j.apor.2020.102486.

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 37Issue 3May 2024

History

Received: Mar 16, 2023
Accepted: Oct 25, 2023
Published online: Jan 19, 2024
Published in print: May 1, 2024
Discussion open until: Jun 19, 2024

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Authors

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Master’s Student, Institute of Precision Guidance and Control, Northwestern Polytechnical Univ., Xi’an 710072, China. ORCID: https://orcid.org/0000-0002-8702-2290. Email: [email protected]
Associate Researcher, Institute of Precision Guidance and Control, Northwestern Polytechnical Univ., Xi’an 710072, China (corresponding author). ORCID: https://orcid.org/0000-0001-6837-9924. Email: [email protected]; [email protected]
Shiyuan Cao [email protected]
Master’s Student, Institute of Precision Guidance and Control, Northwestern Polytechnical Univ., Xi’an 710072, China. Email: [email protected]
Jianguo Guo [email protected]
Professor, Institute of Precision Guidance and Control, Northwestern Polytechnical Univ., Xi’an 710072, China. Email: [email protected]
Professor, Dept. of Electronics and Telecommunication Engineering (DETEL), State Univ. of Rio de Janeiro (UERJ), Rio de Janeiro RJ 20.550-900, Brazil. ORCID: https://orcid.org/0000-0002-2232-8715. Email: [email protected]

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  • Quadrilateral Pose Estimation for Constrained Spacecraft Guidance and Control Using Deep Learning–Based Keypoint Filtering, Journal of Aerospace Engineering, 10.1061/JAEEEZ.ASENG-5695, 37, 5, (2024).

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