2021
DOI: 10.1155/2021/9975007
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A Two-Level Optimization Method for Hypersonic Periodic Cruise Trajectory

Abstract: Periodic cruise has the potential to improve the fuel-saving efficiency of hypersonic cruise vehicle but is difficult to optimize. In this paper, a two-level optimization method for the trajectory of periodic cruise is proposed. Due to that the periodic cruise trajectory can be divided into an acceleration phase where engine works and a glide phase where engine is off, the two-level optimization method is proposed to optimize the trajectory in each phase by the corresponding level. In the first level, Downhill… Show more

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Cited by 2 publications
(1 citation statement)
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References 33 publications
(47 reference statements)
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“…Based on a parametric model of HL-20, a hypersonic vehicle widely used in trajectory optimization research, Liu et al [11] developed a two-level optimization algorithm combining particle swarm optimization and sequential quadratic programming to solve the optimal steady-state cruise point; Gao et al [12] employed the fmincon function in MATLAB to determine the position of the optimal cruise point. In [13], it was pointed out that a higher altitude was beneficial to reduce drag, but, at the same time, it would reduce the specific impulse. Therefore, the optimal cruise point was a combined result of these two aspects.…”
Section: Introductionmentioning
confidence: 99%
“…Based on a parametric model of HL-20, a hypersonic vehicle widely used in trajectory optimization research, Liu et al [11] developed a two-level optimization algorithm combining particle swarm optimization and sequential quadratic programming to solve the optimal steady-state cruise point; Gao et al [12] employed the fmincon function in MATLAB to determine the position of the optimal cruise point. In [13], it was pointed out that a higher altitude was beneficial to reduce drag, but, at the same time, it would reduce the specific impulse. Therefore, the optimal cruise point was a combined result of these two aspects.…”
Section: Introductionmentioning
confidence: 99%