Spacecraft energy system design method

A design method and energy system technology, applied in the aerospace field, can solve problems such as insufficient consideration of the charging efficiency switch timing of sailboards, and achieve the effect of ensuring accurate evaluation and effective work, and avoiding the influence of human factors

Pending Publication Date: 2022-05-17
INNOVATION ACAD FOR MICROSATELLITES OF CAS +1
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  • Application Information

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Problems solved by technology

The energy subsystem is an important support and guarantee for the effective work of the spacecraft in orbit. The reasonable supply and distribution of the energy subsystem is directly related to the performan...

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  • Spacecraft energy system design method
  • Spacecraft energy system design method
  • Spacecraft energy system design method

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Embodiment

[0034] This embodiment implements a method for designing a spacecraft energy system.

[0035] In this embodiment, a spacecraft energy system design method reasonably designs the energy subsystem according to the spacecraft operating environment, task sequence, the working status of each stand-alone machine, and previous satellite in-orbit data, and conducts verification through the development process to ensure the accuracy of the design. It is important, and it also provides new solutions and solutions for the optimal design of the energy subsystem. After the satellite is in orbit, the ground model can be corrected based on the satellite’s real in-orbit flight data, providing guarantee for the subsequent satellite in-orbit mission planning and execution.

[0036] In this embodiment, a spacecraft energy system design method combines the prior knowledge of the previous spacecraft on the ground and in orbit, and through intelligent learning, deeply excavates the energy consumptio...

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Abstract

The invention relates to a spacecraft energy system design method. The method comprises the following steps: S1, constructing a general spacecraft power supply and distribution system model; s2, inputting prior on-orbit data into a recurrent neural network (RNN) for data generalization, and realizing refined mining of prior empirical data; s3, constructing an actual spacecraft power supply and distribution system model; s4, in a ground design stage, classifying energy balance according to a spacecraft task sequence, establishing sub-samples, and generating a ground test case; s5, correcting the modelable state of the actual spacecraft power supply and distribution system model by adopting a data mining method according to the actual ground test data of the spacecraft, and performing data fitting on the non-modeled state of the actual spacecraft power supply and distribution system model; and S6, in an in-orbit operation stage, performing in-orbit high-precision correction on the actual spacecraft power supply and distribution system model by adopting a data mining method according to the in-orbit measured data. The method has the beneficial effects that the spacecraft energy subsystem is designed according to the operating environment, the task sequence, the working state of each single machine and the previous on-orbit data.

Description

【Technical field】 [0001] The invention relates to the field of aerospace technology, in particular to a design method for a spacecraft energy system. 【Background technique】 [0002] With the increasing diversification and complexity of space missions, it is necessary to carry out detailed verification of each subsystem in the process of initial design and ground verification of spacecraft. The energy subsystem is an important support and guarantee for the effective work of the spacecraft in orbit. The reasonable supply and distribution of the energy subsystem is directly related to the performance of the spacecraft to complete the mission. The calculation is based on the envelope, and the charging performance of the sailboard under different working modes and the switching timing of each stand-alone machine are not fully considered. [0003] Recurrent Neural Network (RNN) is a kind of neural network, which is very effective for data with sequential characteristics, and can ...

Claims

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Application Information

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IPC IPC(8): G06F30/15G06F30/27G06F119/02
CPCG06F30/15G06F30/27G06F2119/02Y02E60/00
Inventor 刘芳孙宁李东南陈娟刘晨龙董洁雯
Owner INNOVATION ACAD FOR MICROSATELLITES OF CAS
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