Study on Autonomous Landing Guidance Method for Spacecraft
航天器自主着陆制导方法研究
基本信息
- 批准号:10355036
- 负责人:
- 金额:$ 19.32万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (A)
- 财政年份:1998
- 资助国家:日本
- 起止时间:1998 至 2001
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Autonomous landing system for deep space exploration has been studied focusing on sensors, sensory information processing, terrain recognition based on image, and navigation, guidance and control of spacecraft. To evaluate the performance of the landing system, the graphical landing simulator has been developed, which has various kinds of functions, planetary surface modeling, sensory model generation, spacecraft dynamics design, navigation and guidance etc. The authors proposed a global mapping method based on moving stereo-vision technique and rim and shadow information. The authors developed a modeling scheme to build various kinds of planetary surface including craters and rocks. The authors also proposed a method to extract features on planetary images and a navigation method to estimate the relative position, velocity and attitude with respect to the surface by using range information and image information. The authors also succeeded in developing terrain recognition for obstacle avoidance and precise navigation and guidance of spacecraft to the landing site. The validity and effectiveness of the proposed methods were confirmed and verified by computer numerical simulations and the graphical landing simulator. These results show that it is possible to build good autonomous landing system which has robustness and high reliability. Good landing system is expected to contribute to the planetary science.
深空探测自主着陆系统的研究主要集中在传感器、感知信息处理、基于图像的地形识别、航天器导航、制导与控制等方面。为了评估着陆系统的性能,开发了具有行星表面建模、感官模型生成、航天器动力学设计、导航制导等多种功能的图形化着陆模拟器。提出了一种基于运动立体视觉技术和边缘、阴影信息的全局映射方法。作者开发了一种建模方案来构建各种行星表面,包括陨石坑和岩石。提出了一种行星图像特征提取方法和一种利用距离信息和图像信息估计行星相对于地表的相对位置、速度和姿态的导航方法。作者还成功地开发了用于避障和精确导航的地形识别,并将航天器引导到着陆点。计算机数值仿真和图形化着陆模拟器验证了所提方法的正确性和有效性。这些结果表明,构建具有鲁棒性和高可靠性的自主着陆系统是可能的。良好的着陆系统有望为行星科学做出贡献。
项目成果
期刊论文数量(53)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Takashi Kubota: "Autonomous Landing System for MUSES-C Sample Return Mission"Proc.of fifth International Symposium on Artificial Intelligence, Robotics and Automation in Space. Vol.1. 615-620 (1999)
Takashi Kubota:“MUSES-C样本返回任务的自主着陆系统”第五届空间人工智能、机器人和自动化国际研讨会论文集。
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- 影响因子:0
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- 通讯作者:
T.Hashimoto, Y.lmamura, T.Kubota, K.Ninomiya: "Aurate Navigation for Lunar Lander/Orbiter based on Crater Identification."Advances in the Astronautical Sciences. Vol. 108, pp. 667-676, Univelt Inc. (2001)
T.Hashimoto、Y.lmamura、T.Kubota、K.Ninomiya:“基于陨石坑识别的月球着陆器/轨道飞行器的金光导航”。宇航科学的进展。
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- 影响因子:0
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S.Sawai: "MUSES-C Touch-Down Test by Robotics Simulator"10th Workshop on Astrodynamics and Flight Mechanics. C3. 286-291 (2000)
S.Sawai:“机器人模拟器的 MUSES-C 着陆测试”第 10 届天体动力学和飞行力学研讨会。
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- 影响因子:0
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T.Kubota: "Maneuver Strategy for Station Keeping and Global Mapping around an Asteroid"AAS/AIAA Space Flight Mechanics Meeting. 01-156. (2001)
T.Kubota:“小行星周围位置保持和全球测绘的机动策略”AAS/AIAA 太空飞行力学会议。
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- 影响因子:0
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久保田孝: "MUSES-Cミッションにおける自律着陸センサの開発" 第42回宇宙科学連合講演会講演集. 98-3B3. (1998)
Takashi Kubota:“MUSES-C 任务的自主着陆传感器的开发”第 42 届空间科学联盟会议记录(1998 年)。
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