Space: Science & Technology最新文献_第10页

Space Habitat Astronautics: Multicolour Lighting Psychology in a 7-Day Simulated Habitat 空间栖息地航天:7天模拟栖息地的多色照明心理学

Space: Science & Technology Pub Date : 2022-04-09 DOI: 10.34133/2022/9782706

Ao Jiang, I. Schlacht, Xiang Yao, B. Foing, Z. Fang, S. Westland, Caroline Hemingray, Wenhao Yao

{"title":"Space Habitat Astronautics: Multicolour Lighting Psychology in a 7-Day Simulated Habitat","authors":"Ao Jiang, I. Schlacht, Xiang Yao, B. Foing, Z. Fang, S. Westland, Caroline Hemingray, Wenhao Yao","doi":"10.34133/2022/9782706","DOIUrl":"https://doi.org/10.34133/2022/9782706","url":null,"abstract":"During space missions, astronauts live in a confined technological environment, completely isolated and deprived of the variety and variation found in the environment on Earth. This circumstance has a strong impact on the psycho-physiological states of the crew. Particularly in light of the plans for long-duration missions, new research needs to be carried out. The goal of this study, conducted at Xiangtan Central Hospital in China, was to test whether multicolour lighting can improve people’s psychological state in an isolated and confined environment over a period of seven days. Twenty participants (10 male and 10 female) were randomly divided into two groups: one group that was exposed to multicolour lighting and a control group, which was exposed to a static, monotonous white interior. The participants’ psychological state was recorded on the first day, the fourth day, and the seventh day. The results of the control group showed that the participants’ negative emotions and anxiety continued to increase over time, whereas the group randomly exposed to multicolour lighting that changed every three hours did not show any significant increase in negative emotions and anxiety. Moreover, the random change of light colour in the isolated environment appeared to help the participants increase their sense of surprise, thereby counteracting monotony. Finally, during this experiment, it was observed that when people who are accustomed to being connected to social networks were deprived of this, they experienced insomnia and unaccustomed reactions, in particular on the first days of deprivation. This article contributes to future space exploration and to social and psychological support of life in isolated and confined environments.","PeriodicalId":136587,"journal":{"name":"Space: Science & Technology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121425976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Generalized Maximum Correntropy Kalman Filter for Target Tracking in TianGong-2 Space Laboratory 广义最大熵卡尔曼滤波在天宫二号空间实验室目标跟踪中的应用

Space: Science & Technology Pub Date : 2022-04-06 DOI: 10.34133/2022/9796015

Yang Mo, Yaonan Wang, Hong Yang, Badong Chen, Hui Li, Zhihong Jiang

{"title":"Generalized Maximum Correntropy Kalman Filter for Target Tracking in TianGong-2 Space Laboratory","authors":"Yang Mo, Yaonan Wang, Hong Yang, Badong Chen, Hui Li, Zhihong Jiang","doi":"10.34133/2022/9796015","DOIUrl":"https://doi.org/10.34133/2022/9796015","url":null,"abstract":"Target tracking plays an important role in the construction, operation, and maintenance of the space station by the robot, which puts forward high requirements on the accuracy of target tracking. However, the special space environment may cause complex non-Gaussian noise in target tracking data. And the performance of traditional Kalman Filter will deteriorate seriously when the error signals are non-Gaussian, which may lead to mission failure. In the paper, a novel Kalman Filter algorithm with Generalized Maximum Correntropy Criterion (GMCKF) is proposed to improve the tracking accuracy with non-Gaussian noise. The GMCKF algorithm, which replaces the default Gaussian kernel with the generalized Gaussian density function as kernel, can adapt to multi-type non-Gaussian noises and evaluate the noise accurately. A parameter automatic selection algorithm is proposed to determine the shape parameter of GMCKF algorithm, which helps the GMCKF algorithm achieve better performance for complex non-Gaussian noise. The performance of the proposed algorithm has been evaluated by simulations and the ground experiments. Then, the algorithm has been applied in the maintenance experiments in TianGong-2 space laboratory of China. The results validated the feasibility of the proposed method with the target tracking precision improved significantly in complex non-Gaussian environment.","PeriodicalId":136587,"journal":{"name":"Space: Science & Technology","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114290046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Study on Dynamic Characteristics of Mars Entry Module in Transonic and Supersonic Speeds 火星登月舱跨声速和超声速动态特性研究

Space: Science & Technology Pub Date : 2022-03-24 DOI: 10.34133/2022/9753286

Qi Li, Rui Zhao, Sijun Zhang, W. Rao, Haogong Wei

引用次数: 2

Analysis and Verification of Aerodynamic Characteristics of Tianwen-1 Mars Parachute “天文一号”火星降落伞气动特性分析与验证

Space: Science & Technology Pub Date : 2022-03-20 DOI: 10.34133/2022/9805457

Mingxing Huang, Wen-qiang Wang, Jun Yu Li

引用次数: 2

A Review on the Development of Spaceborne Membrane Antennas 星载膜天线发展综述

Space: Science & Technology Pub Date : 2022-03-07 DOI: 10.34133/2022/9803603

Ming-Jian Li, Meng Li, Yufei Liu, Xin-Yu Geng, Yuan Li