Abstract
For the strong nonlinearity and uncertainty in the ascent guidance problem of air-breathing hypersonic vehicle, an adaptive ascent guidance scheme based on model predictive static programming (MPSP) algorithm is investigated in this paper. The purpose of guidance scheme is to drive the vehicle to the desired terminal states under the disturbance and uncertain environment. Since MPSP algorithm is effective in solving terminal constrained optimal control problem, the guidance command is obtained to shape the ascent trajectory of the vehicle by this technique. Besides, considering that MPSP is a model-dependent algorithm that will be affected by the complex and changeable atmospheric environment, an extended Kalman filter (EKF) is adopted to identify the deviation of thrust coefficient, lift coefficient and drag coefficient online in a real flight condition, which can provide the adaptability of guidance scheme. Finally, the performance of the proposed guidance scheme in simulation proves that its effectiveness in flight missions.
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This work was supported partially by the National Natural Science Foundation of China under Grant 61873319, 61903146 and 61803162.
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He, Q., Wu, H., Tang, M., Liu, L., Wang, Y., Cheng, Z. (2022). Ascent Guidance for Air-Breathing Hypersonic Vehicles Based on MPSP. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_302
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DOI: https://doi.org/10.1007/978-981-15-8155-7_302
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