Reentry trajectory rapid optimization for hypersonic vehicle satisfying waypoint and no-fly zone constraints

Wang, Lu; Qing-hua, Xing; Mao, Yifan

doi:10.1109/jsee.2015.00140

Cited by 8 publications

(3 citation statements)

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“…In the GPM, the optimal control problem is discretized at LG nodes and then converted into a nonlinear programming problem by approximating the states and controls using Lagrange interpolating polynomials Lagrange interpolating polynomials. [13] The basic ideas of this method is introduced by the following. [14] The time interval of the optimal control problem is [t 0 , t f ] and it needs to be transformed to [-1, 1] by the Gauss Pseudo-spectral Method.…”

Section: Methodsmentioning

confidence: 99%

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Research on the Maximum Range of Gliding Vehicles Based on Gauss Pseudo-spectral Method

Zhou¹,

Liu²,

Da³

2018

dtcse

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Abstract. Trajectory optimization is an important problem in the field of aircraft design. Effective trajectory optimization is critical to the tactical flight of an aircraft. Based on previous research, this paper further studies trajectory optimization of an unpowered gliding vehicle. The goal is to maximize its range and to analyze the influence of different initial conditions on trajectory optimization. In this paper, the trajectory optimization model involving all kinds of state constraints and control constraints was established and aerodynamic coefficient was calculated by CFD software. Finally Gauss Pseudo-spectral Method program was run to calculate the flight path of the gliding vehicle and to seek trajectory with maximum range. The simulation data shows that results of Gauss Pseudo-spectral Method are realistic and prove its practical operability. The use of Gauss Pseudo-spectral Method for trajectory optimization has a good effect.

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Section: Methodsmentioning

confidence: 99%

“…[14] The time interval of the optimal control problem is [t 0 , t f ] and it needs to be transformed to [-1, 1] by the Gauss Pseudo-spectral Method. The transformation can be expressed as: [13] …”

Section: Methodsmentioning

confidence: 99%

Research on the Maximum Range of Gliding Vehicles Based on Gauss Pseudo-spectral Method

Zhou¹,

Liu²,

Da³

2018

dtcse

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show abstract

“…Longitudinal skip trajectories have strong regularity, and are easy to predict. Wang et al [11] studied the change law of the lift-to-drag ratio during the gliding flight and completed the longitudinal skip trajectory prediction with the curve fitting method. Han et al [12] employed the decompositionintegration method to extract the longitudinal skip law and realized the longitudinal skip prediction.…”

Section: Introductionmentioning

confidence: 99%

Novel trajectory prediction algorithms for hypersonic gliding vehicles based on maneuver mode on-line identification and intent inference

Hu¹,

Gao²,

Li³

et al. 2021

Meas. Sci. Technol.

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Aiming at the trajectory prediction problem in hypersonic glide vehicle defense, novel trajectory prediction algorithms based on maneuver mode on-line identification and intent inference are proposed. For solving the maneuver mode identification and modeling problems, the auto-regressive method is introduced to reveal the hidden internal law in the historical tracking data and present the parametric model of the maneuver mode, thereby realizing the accurate trajectory prediction. To deal with the maneuver mode mutation problem, a novel intent inference based long-term trajectory prediction algorithm is proposed: firstly, the cost function of maneuver intent is constructed reasonably. Then, to solve the vehicle's intent recursive calculation problem, the recurrence formula of the vehicle's intent is derived based on Bayesian estimation theory, and the vehicle's reachable region rapid resolution and discretization methods are proposed. Finally, the vehicle's state recursive formula is derived with Bayesian estimation theory, and the trajectory prediction problem is transformed into the probability prediction problem of the vehicle appearing in a specific region. To avoid the large calculation problem in long-term trajectory prediction, the random sampling shooting method is adopted. The proposed trajectory prediction algorithms are combined to are combined to realize complementary advantages and provide as much valuable prediction information as possible for the defender. The simulation results show that the proposed trajectory prediction algorithms share high prediction accuracy and applicability.

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Graph-based path decision modeling for hypersonic vehicles with no-fly zone constraints

Zhang

2021

Aerospace Science and Technology

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Reentry trajectory rapid optimization for hypersonic vehicle satisfying waypoint and no-fly zone constraints

Cited by 8 publications

References 0 publications

Research on the Maximum Range of Gliding Vehicles Based on Gauss Pseudo-spectral Method

Research on the Maximum Range of Gliding Vehicles Based on Gauss Pseudo-spectral Method

Novel trajectory prediction algorithms for hypersonic gliding vehicles based on maneuver mode on-line identification and intent inference

Graph-based path decision modeling for hypersonic vehicles with no-fly zone constraints

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