2018
DOI: 10.12783/dtcse/pcmm2018/23663
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Gauss Pseudospectral Method Based Trajectory Optimization for Hypersonic Glide Vehicles

Abstract: Abstract. In order to meet the requirements of trajectory planning under complex constraints and avoid the occurrence of ballistic singularities, a set of motion models based on the idea of pole transformation is adopted, considering the influence of the earth rotation. Based on the model of pole transformation motion, the trajectory of hypersonic glide vehicle is simulated and some meaningful conclusions are obtained.

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Cited by 2 publications
(6 citation statements)
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“…(i) In a lot of previous work [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18], either the acceleration constraint is not taken into account, or the bang-bang control is directly adopted and the energy optimization is ignored. In contrast, the evasion strategy introduces the boundary value M(lower bound of miss distance for successful evasion) and combines the concept of SMD and NDG theory, so as to solve the energy optimization problem under the premise of acceleration constraints.…”
Section: L\0 ð42þmentioning
confidence: 99%
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“…(i) In a lot of previous work [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18], either the acceleration constraint is not taken into account, or the bang-bang control is directly adopted and the energy optimization is ignored. In contrast, the evasion strategy introduces the boundary value M(lower bound of miss distance for successful evasion) and combines the concept of SMD and NDG theory, so as to solve the energy optimization problem under the premise of acceleration constraints.…”
Section: L\0 ð42þmentioning
confidence: 99%
“…Therefore, the evasion command in this work is more practical and has wider applicability. (iii) In all the above-mentioned previous work [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21], the evasion strategies are developed on the basis of the perfect information of the pursuers. In this paper, by introducing the gradient descent method, the dynamic information of the pursuer is estimated.…”
Section: L\0 ð42þmentioning
confidence: 99%
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