Design and optimization in multiphase homing trajectory of parafoil system

Gao, Haitao; Jin, Tao; Sun, Qinglin; Chen, Zengqiang

doi:10.1007/s11771-016-3194-x

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…Under the same conditions, when considering the landing accuracy of the target point, the accuracy of the trajectory planned by the method in this paper is basically the same order of magnitude compared with the existing classical segmented trajectory method. For example, when the coordinates of the starting point is at (800, 800, 2000) and the initial flight direction = − /3 rad, landing direction of the segmented trajectory planning strategy proposed in this paper is 3.14, and the landing error is 0.6685 m, which is about 0.3742 m higher than the accuracy of 1.0427 m in Ref [23].…”

Section: Discussionmentioning

confidence: 74%

“…In the trajectory design process, performance indicators such as energy consumption, stability, and safety are taken into account to make the planned trajectory as optimal as possible. In Ref [23], the target point was set in the center of the hovering height elimination area, and the homing trajectory of the parafoil system was designed in sections. And the optimal solution of the objective function was solved through the AP-QDEA optimization algorithm proposed in the paper to determine the homing trajectory of each section.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Trajectory Planning Method for Parafoil Airdrop System Based on Geometric Segmentation Strategy

Gao¹,

Jin²

2022

Preprint

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Reasonable trajectory planning is the precondition for the parafoil airdrop system to achieve autonomous accurate homing and safe landing. In order to successfully realize the self-homing of the parafoil airdrop system, a new trajectory optimization design scheme is proposed in this paper. The scheme is based on the parafoil's unique flight and control characteristics and adopts a segmented homing design. Compared with the current common trajectory design method, its core feature is to avoid the problem that the straight-line flight distance before landing is limited by the radius of the height-reducing area and ensure landing accuracy and safety. Firstly, the different starting states of the parafoil airdrop system and the landing requirements were comprehensively considered, and the homing trajectory is reasonably segmented. Based on the requirements of energy control, stable flight, and landing accuracy, the optimal objective function of the trajectory was established, and the trajectory parameters, calculation methods, and constraints were given. Secondly, the cuckoo search algorithm was applied to optimize the objective function to obtain the final home trajectory. Finally, the trajectory planning under different airdrop conditions was simulated and verified. The results showed that the planned trajectories could reach the target point accurately and meet the flight direction requirements, proving the proposed scheme's correctness and feasibility.

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Section: Discussionmentioning

confidence: 74%

Section: Introductionmentioning

confidence: 99%

A Novel Trajectory Planning Method for Parafoil Airdrop System Based on Geometric Segmentation Strategy

Gao¹,

Jin²

2022

Preprint

Self Cite

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“…Due to the complexity of the indirect method, the direct method is often used in the design of the homing trajectory of the parafoil system. Zhang and Gao used the Gaussian pseudospectral method to transform the discrete processing of the homing trajectory of the parafoil system into a large-scale nonlinear optimization problem with a series of algebraic constraints, and solved it with a quadratic programming method [12,13]. Xie studied the flight path of the parafoil system under terrain and fire threats, modeled the two threats, generated a three-dimensional search space, optimized the flight path of the parafoil system using a particle swarm optimization algorithm, and planned a homing path that can avoid threats and meet the range and height constraints [14].…”

Section: Introductionmentioning

confidence: 99%

“…Zhao adopted the design scheme of the sub-section homing based on the four-degrees-of-freedom model and optimized the design parameters of the homing trajectory using the improved Artificial Fish-Swarm Algorithm (AFSA) [23]. Gao took the minimum homing energy consumption as the optimization goal, adopted a five-segment homing strategy, used the pseudospectrum method to optimize the trajectory, and gave the optimal reference path for homing [24]. Zhang proposed a 3D trajectory planning method based on a compound optimization random tree (CO-RRT) algorithm for parafoil trajectory planning under specific conditions [25].…”

Section: Introductionmentioning

confidence: 99%

Optimal Path Planning and Tracking Control Methods for Parafoil

Nan

2023

Applied Sciences

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Due to the problems of flexible parafoil systems that are susceptible to complex disturbances, such as external wind fields and being difficult to control, it is necessary to study the path planning and tracking control methods of parafoil under complex conditions. In this paper, the particle model and dynamic model of the parafoil system are established, and the path planning method based on the original natural (ON) principle coupled with meteorological interference, terrain avoidance, and other environmental models is studied. Sliding mode control is introduced into the path tracking control of the parafoil system, and tracking errors of the parafoil position and velocity are taken as the design criteria for the sliding mode surface. The control law of the sliding mode controller is derived. Through simulation comparison with other path planning and tracking control methods, the methods designed in this paper can reflect better path planning and tracking performance. The methods designed in this paper can effectively suppress the impact of external disturbances, improve accuracy, and enhance robustness.

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