Effectiveness Evaluation of Reconnaissance Satellite System based on Analytic Hierarchy Process and Cloud Model

Cheng, Han; Xiong, Wei; Xiong, Minghui; Liu, Zhen; Liu, Wenwen; Yu, Xiaopeng; Jian, Ping

doi:10.1109/itnec52019.2021.9586884

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Shao et al used grey system theory to construct a multi-state system performance evaluation model for the inaccurate and insufficient data of the communication satellite system [13]. Liu et al used the hierarchical analysis method to calculate the weights of the indicators, established the ADC model and simulated the indicator values, and finally completed the comprehensive performance evaluation of the satellite system [14]. At the present stage, most of the performance evaluation methods of satellite systems are subjective, such as hierarchical analysis and ADC model, while the uncertainty of sensor measurement and the multi-source disturbance of the space environment are ignored.…”

Section: Introductionmentioning

confidence: 99%

A Performance Evaluation Approach for Satellite Attitude Control System in Tracking Mode

Zhang,

Yang,

Cheng

et al. 2024

Applied Sciences

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The study of satellite performance evaluation can reveal the ability of satellite systems to fulfil corresponding tasks in the space environment, and provide information support for the resource allocation and mission scheduling of in-orbit satellites. In this paper, we took the satellite attitude control system in attitude tracking mode as the research object. In accordance with the system’s mission requirements, the control performance evaluation indicator set, characterized by a generalized grey number, is constructed to tackle the uncertainty and inadequacy of information contained in flight status data resulting from the complex space operating environment and sensor measurement noise. An improved principal component analysis method based on generalized grey number is proposed to solve the weight amplification caused by the correlation between performance indicators and realize the weight allocation of the indicators. Finally, the grey-target decision model is established to determine the weights of the performance indicators, and the performance evaluation model is established under the tracking mode. The feasibility of the grey-target decision-evaluation model based on the improved principal component is confirmed through comparative experiments.

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Section: Introductionmentioning

confidence: 99%