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Online planning method for reentry trajectory of aircraft based on particle swarm optimization algorithm

A technology of particle swarm optimization and reentry trajectory, applied in the direction of instruments, calculations, calculation models, etc., can solve the problem of large amount of online calculations, and achieve the effect of high drop point accuracy

Inactive Publication Date: 2018-01-16
BEIJING SPACE TECH RES & TEST CENT
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Problems solved by technology

The reentry trajectory planning method based on intelligent control also has the problem of large amount of online calculations

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  • Online planning method for reentry trajectory of aircraft based on particle swarm optimization algorithm

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Embodiment Construction

[0019] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0020] figure 1 It is a schematic diagram of the calculation process of the online planning method of the aircraft reentry trajectory based on the particle swarm optimization algorithm, as shown in figure 1 Shown, the present invention is based on particle swarm optimization algorithm aircraft re-entry trajectory online planning method, comprises the following steps:

[0021] Step 1: According to the requirements of the aircraft re-entry mission, determine the envelope range of the re-entry initial conditions.

[0022] The initial conditions of re-entry mainly include the re-entry speed of the aircraft, the re-entry altitude, and the speed and direction angle during re-entry.

[0023] Step 2: According to the envelope range of the re-entry initial conditions, determine the segmental constant value of the roll angle, the maximum number of rev...

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Abstract

The invention provides an online planning method for reentry trajectory of an aircraft based on a particle swarm optimization algorithm. The method comprises the following steps of 1, determining an envelop range of an initial condition of reentry according to an reentry task requirement of the aircraft; 2, determining the sizes of piecewise constants of a heeling angle and the maximum number of inversion times of a heeling angle symbol according to the envelop range of the initial condition of reentry; 3, dividing the envelop range of the initial condition of reentry into grids, and ensuringthat an original envelop peak is a sub-envelop peak; 4, using each sub-envelop peak as the initial condition of reentry, and using the particle swarm optimization algorithm to design an reentry standard trajectory of the aircraft offline; 5, verifying validity of envelopment range division and the reentry standard trajectory via offline digital simulation; and 6, statistically analyzing a simulation result, and if the result does not meet an expected design requirement, returning to the step 3 to redivide sub-envelops; and if the result meets the expected design requirement, ending design. Themethod provided by the invention has the advantages of being small in online computing amount and high in placement accuracy of standard trajectory generated online.

Description

technical field [0001] The invention designs an aircraft reentry trajectory online planning method based on a particle swarm optimization algorithm, and belongs to the technical field of aircraft trajectory planning. Background technique [0002] With the continuous development of space technology and the increasing frequency of human space activities, the ability of future spacecraft to return to Earth quickly, reliably and accurately will become more and more important. Reentry and return is a complex process with multiple constraints. In general, it is necessary to pre-plan the reentry reference trajectory according to mission requirements and constraints to achieve the goal of safe return. In the presence of various environmental disturbances and parameter uncertainties, when the aircraft is performing emergency missions or missions are changing, reentry trajectory planning is of great significance to improve the accuracy and adaptability of the guidance method. However...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/00G06Q10/04
Inventor 陈冲侯砚泽李宪强王青冉茂鹏左光屈峰荣成成
Owner BEIJING SPACE TECH RES & TEST CENT
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