Reentry trajectory optimization for hypersonic vehicle based on improved Gauss pseudospectral method

Mao, Yifan; Duo-lin, Zhang; Wang, Lu

doi:10.1007/s00500-016-2201-3

Cited by 33 publications

(12 citation statements)

References 10 publications

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“…The Gauss pseudospectral method (GPM) is widely used for trajectory generation [5][6][7]. A novel time-optimal memetic whale optimization algorithm integrating the GPM is proposed in [5] for the hypersonic vehicle re-entry trajectory optimization problem with no-fly zones, proving that the GPM possesses a rapid convergence speed around the optimum and higher accuracy in the trajectory construction field.…”

Section: Introductionmentioning

confidence: 99%

“…A novel time-optimal memetic whale optimization algorithm integrating the GPM is proposed in [5] for the hypersonic vehicle re-entry trajectory optimization problem with no-fly zones, proving that the GPM possesses a rapid convergence speed around the optimum and higher accuracy in the trajectory construction field. Mao et al also applied the GPM for re-entry trajectory optimization because of its high efficiency and accuracy [6]. The GPM is also adopted to generate trajectory offline for guidance and control systems of re-entry vehicles in the presence of control constraints and multiple disturbances based on unified enhanced trajectory linearization control (TLC) [7].…”

Section: Introductionmentioning

confidence: 99%

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A Novel IGC Scheme for RHV with the Capabilities of Online Aerodynamic Coefficient Estimation and Trajectory Generation

Wang

Zhang

2021

Mathematics

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A novel integrated guidance and control (IGC) scheme for a Re-entry Hypersonic Vehicle (RHV) is proposed with the capabilities of online aerodynamic coefficient estimation based on an Unscented Kalman Filter and online trajectory generation based on the Gaussian pseudospectral method. A linear quadratic regulator is adopted for trajectory tracking guidance and a second-layer sliding mode controller is designed for attitude control. The variation of lift and drag coefficients are modeled and estimated online, based on which a new trajectory can be generated. The commands of trajectory generation are set as moments of actuators and their extremums pose more constraints on the rate and acceleration of flow angles. Comprehensive simulations are conducted and comparable IGC performances with normal conditions are obtained under large aerodynamic coefficient errors according to online generated trajectory, which proves the effectiveness and advantages of the proposed IGC scheme.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel IGC Scheme for RHV with the Capabilities of Online Aerodynamic Coefficient Estimation and Trajectory Generation

Wang

Zhang

2021

Mathematics

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“…To design a promising trajectory planner, researchers and engineers have devoted significant amount of efforts [5,6]. A large amount of attention has been paid to the development of classical "discretization + optimization" mode-based trajectory optimization algorithms such as the well-known Gauss pseudospectral method (GPM) [7], the hp-adaptive pseudospectral method [8], and various other improved versions [9][10][11]. In addition, in [12][13][14][15][16][17], different bio-inspired optimization techniques were reported to approximate the optimal control trajectory and multiple evolutionary strategies were designed to further improve the performance and robustness of these algorithms.…”

Section: Introductionmentioning

confidence: 99%

Trajectory planning for hypersonic reentry vehicle satisfying deterministic and probabilistic constraints

et al. 2020

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The present work explores the optimal flight of aero-assisted reentry vehicles during the atmospheric entry flight phase with the consideration of both deterministic and control chance constraints. To describe the mission profile, a chance-constrained optimal control model is established. Due to the existence of probabilistic constraints (chance constraints), standard numerical trajectory planning algorithms cannot be directly applied to address the considered problem. Hence, we firstly present an approximation-based strategy to replace the probabilistic constraint by a deterministic version. In this way, the transformed optimal control model becomes solvable for standard trajectory optimization methods. In order to obtain enhanced computational performance, an alternative convex-relaxed optimal control formulation is also given. This is achieved by convexifying the vehicle nonlinear dynamics/constraints and by introducing a convex probabilistic constraint handling strategy. Numerical simulations are provided to demonstrate the effectiveness of these two chance-constrained optimization approaches and the corresponding probabilistic constraint handling strategies.

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“…During the last decades, many works have been carried out on the design of guidance laws with NFZ constraints, which can be classified into two types: offline path planning methods (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17) and online guidance laws (18)(19)(20)(21)(22)(23)(24) . Some off-line path planning methods are based on a series of waypoints and then employ path search algorithms to find a feasible trajectory by connecting proper waypoints, such as A* search algorithm, artificial bee colony algorithm (7) , bat algorithm (8) , heuristic algorithm (9) , core paths graph algorithm (10) , Newton iteration scheme (11) or dynamic programming (12) .…”

Section: Introductionmentioning

confidence: 99%

“…Some off-line path planning methods are based on a series of waypoints and then employ path search algorithms to find a feasible trajectory by connecting proper waypoints, such as A* search algorithm, artificial bee colony algorithm (7) , bat algorithm (8) , heuristic algorithm (9) , core paths graph algorithm (10) , Newton iteration scheme (11) or dynamic programming (12) . There are still some methods using the optimal control theories to obtain the optimal reference trajectory (13)(14)(15) . The cell decomposition methods (16,17) can also be applied in the off-line path planning.…”

Section: Introductionmentioning

confidence: 99%

Guidance law for intercepting target with multiple no-fly zone constraints

Zhao

Chen

2017

Aeronaut. j.

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A composite guidance law is proposed for intercepting moving target while strictly satisfying the constraints on multiple No-Fly Zones (NFZs) distributed arbitrarily. The research has two major steps. In the first step, by considering only one NFZ, a guidance law is developed with three parts: Orientation Adjustment Scheme (OAS), Boundary-Constraint Handling Scheme (BCHS), and Proportional Navigation (PN). OAS determines the major flight direction by predicting the collision point of the missile and target. BCHS controls the missile to approach and then fly along the boundary of the NFZ smoothly so as to bypass the NFZ through a short path. PN is used to intercept the target in the endgame phase. In the second step, we use the multi-step decision process to set up a series of appropriate waypoints in order to avoid multiple NFZs. The superior performance of the proposed guidance law has been demonstrated by trajectory simulations.

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Reentry trajectory optimization for hypersonic vehicle based on improved Gauss pseudospectral method

Cited by 33 publications

References 10 publications

A Novel IGC Scheme for RHV with the Capabilities of Online Aerodynamic Coefficient Estimation and Trajectory Generation

A Novel IGC Scheme for RHV with the Capabilities of Online Aerodynamic Coefficient Estimation and Trajectory Generation

Trajectory planning for hypersonic reentry vehicle satisfying deterministic and probabilistic constraints

Guidance law for intercepting target with multiple no-fly zone constraints

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