Adaptive genetic algorithm-based interplanetary orbit control optimization method

A genetic algorithm and orbit control technology, applied in the field of interplanetary orbit control optimization based on adaptive genetic algorithm, can solve problems such as poor accuracy and low computational efficiency, and achieve the effects of improving efficiency, accelerating convergence speed, and saving fuel consumption

Inactive Publication Date: 2014-12-31
SHANGHAI XINYUE METER FACTORY
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Problems solved by technology

[0008] Aiming at the shortcomings of low calculation efficiency and poor precision in the traditional numerical search method, th

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  • Adaptive genetic algorithm-based interplanetary orbit control optimization method
  • Adaptive genetic algorithm-based interplanetary orbit control optimization method
  • Adaptive genetic algorithm-based interplanetary orbit control optimization method

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Embodiment Construction

[0034] The technical solutions of the present invention are described below through preferred embodiments, but the following embodiments cannot limit the protection scope of the present invention.

[0035] The invention provides an interplanetary orbit control optimization method based on an adaptive genetic algorithm. The optimization parameter is the timing of the midway correction of the cruise orbit, and the optimization goal is to correct the comprehensive index of the maneuvering speed increment and the residual error of the target planetary position.

[0036] 1) Establish the target planet B plane:

[0037] 1-1) Definition of B plane

[0038] Before the probe reaches the vicinity of the target celestial body and does not brake, the flight path relative to the target celestial body is a hyperbola. The so-called B plane refers to the plane passing through the center of the target celestial body and perpendicular to the incident asymptote of the hyperbolic orbit of the d...

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Abstract

The invention discloses an adaptive genetic algorithm-based interplanetary orbit control optimization method. The method comprises the following steps: establishing a B plane of a target planet; calculating a velocity increment of orbit control and a B plane position residual error; and optimizing a midcourse correction opportunity by using an adaptive genetic algorithm. Fuel consumption of midcourse correction and a target planet position error are used as optimization objectives. The genetic algorithm is used for carrying out optimization on the opportunity of the midcourse correction in the interplanetary transfer orbit; the traditional genetic algorithm is improved, the adaptive crossover probability and mutation probability are used, and the algorithm convergence rate is accelerated. Compared with the traditional numerical searching method, the adaptive genetic algorithm enables the optimizing precision to be ensured and calculation time to be saved. With the method, the considerable fuel consumption can be reduced for the interplanetary exploration task and the efficiency of the interplanetary cruise track control strategy selection can also be effectively improved.

Description

[0001] technical field [0002] The invention relates to spacecraft orbit control technology, in particular to an interplanetary orbit control optimization method based on adaptive genetic algorithm. [0003] Background technique [0004] The interplanetary probe will deviate from the predetermined orbit under the influence of launching orbit error and various perturbations. If the mid-course orbit correction is not performed, there will be a huge deviation due to nonlinear effects when it reaches the target celestial body. Therefore, in order to reach the predetermined target orbit or be captured by the target celestial body, it is necessary to complete multiple midway corrections to the probe during the cruise orbit segment. [0005] Midway correction needs to consume precious energy, and the orbit control strategy is to determine when the probe will make corrections during the flight, how many times to make corrections, and the size of each correction, so as to minimize ...

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Application Information

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IPC IPC(8): G05B13/04
Inventor 张玉花周杰阳光谭天乐贺亮刘付成
Owner SHANGHAI XINYUE METER FACTORY
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