Implementation of modeling and simulation software for satellite Guidance，Navigation and Control

doi:10.3778/j.issn.1002-8331.2008.35.64

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (35): 213-216.DOI: 10.3778/j.issn.1002-8331.2008.35.64

• 工程与应用 • Previous Articles Next Articles

Implementation of modeling and simulation software for satellite Guidance，Navigation and Control

LIAO Shou-yi¹,CHEN Jian¹,LU Hong-wei²

1.Department of Test & Control Engineering，The Second Artillery Engineering College，Xi’an 710025，China
2.Beijing Information and High Technology Research Institute，Beijing 100085，China

Received:2007-12-13 Revised:2008-03-03 Online:2008-12-11 Published:2008-12-11
Contact: LIAO Shou-yi

卫星GN&C分系统建模与仿真软件实现

廖守亿¹,陈坚¹,陆宏伟²

1.第二炮兵工程学院测试与控制工程系，西安 710025
2.北京信息高技术研究所，北京100085

通讯作者: 廖守亿

Abstract

Abstract: The design，optimization and simulation of Guidance，Navigation and Control（GN&C） system are necessary for both the design and on-orbit operations of satellites.However，the variety of GN&C system schemes and algorithm complexity are detrimental to the rapid design，simulation and decision-making.To address the issue，a modeling and simulation software environment programmed by VC and Matlab for satellite GN&C system，called GN&C，is designed and implemented using Matlab/Simulink as a computation engine.The software can effectively filter out laborious details in building GN&C simulation system，thus can evaluate the performance of the GN&C system by simulation.

Key words: Guidance, Navigation and Control（GN&, C）, satellite system, design, modeling and simulation

摘要： 卫星系统的总体设计以及在轨运行等任务都离不开对其制导、导航与控制（GN&C）分系统的设计、优化与仿真演示，但GN&C分系统方案以及算法的复杂性对于GN&C分系统的快速设计、仿真与决策非常不利。采用Matlab/Simulink作为后台计算引擎、利用Matlab与VC混合编程，设计实现了一个卫星GN&C分系统建模与仿真软件环境。该软件环境能够屏蔽GN&C分系统的构建细节从而快速搭建具体的仿真应用，可实现对卫星GN&C分系统方案的快速仿真评估，并实现建模环境与具体的仿真应用相分离。

关键词: 制导、导航与控制, 卫星系统, 设计, 建模与仿真

LIAO Shou-yi¹,CHEN Jian¹,LU Hong-wei². Implementation of modeling and simulation software for satellite Guidance，Navigation and Control[J]. Computer Engineering and Applications, 2008, 44(35): 213-216.

廖守亿¹,陈坚¹,陆宏伟²

. 卫星GN&C分系统建模与仿真软件实现[J]. 计算机工程与应用, 2008, 44(35): 213-216.

[1]	YANG Yemin, ZHANG Huijun, ZHANG Xiaolong. Research on Interpretable Visual Analysis Method of Random Forest [J]. Computer Engineering and Applications, 2021, 57(6): 168-175.
[2]	LI Fuqiang, GAO Lisai, ZHENG Baozhou, GU Xiaoqing. Event-Triggered Secure Control for Networked Systems Under Deception Attacks [J]. Computer Engineering and Applications, 2021, 57(5): 264-270.
[3]	LI Xiaoying, TANG Donglin. Creative Thinking Knowledge Service with User-Generated Content [J]. Computer Engineering and Applications, 2021, 57(4): 236-244.
[4]	GU Haiyan, CHEN Liang, WANG Duodian. Space-Time Cooperative Path Planning for Multi-UAV Using Model Predictive Control [J]. Computer Engineering and Applications, 2021, 57(23): 270-279.
[5]	LI Shouyu, HE Qing, DU Nisuo. Piecewise Weight and Mutation Opposition-Based Learning Butterfly Optimization Algorithm [J]. Computer Engineering and Applications, 2021, 57(22): 92-101.
[6]	XIAO Liejun, BAO Wenjing, GAO Qingji. Modeling Research of Rotorcraft Integrated Positioning Based on CPS Framework [J]. Computer Engineering and Applications, 2021, 57(21): 287-294.
[7]	DING Songyang, TIAN Qingyun. Density Peak Clustering Algorithm Based on Ball-Tree [J]. Computer Engineering and Applications, 2021, 57(20): 90-96.
[8]	ZHOU Yamin, YANG Yongsheng, ZHONG Meisu, WANG Yusheng, XU Xueqian. Scheduling of Crossing Double ASC in Yard of Automated Terminals [J]. Computer Engineering and Applications, 2021, 57(2): 251-256.
[9]	ZHANG Rongxia, WU Changxu, SUN Tongchao, ZHAO Zengshun. Progress on Deep Reinforcement Learning in Path Planning [J]. Computer Engineering and Applications, 2021, 57(19): 44-56.
[10]	LI Miaomiao, WANG Qiuping, HUI Hui. Enhanced Bat Algorithm Based on Fractional-Order Strategy and Spiral with Lévy Flight [J]. Computer Engineering and Applications, 2021, 57(18): 75-81.
[11]	ZUO Baochuan, ZHANG Qing. Feature Guidance Mechanism for Saliency Detection Network [J]. Computer Engineering and Applications, 2021, 57(14): 201-208.
[12]	SUN Ming, CHEN Xin. Design Method of Convolutional Neural Network Accelerator [J]. Computer Engineering and Applications, 2021, 57(13): 77-84.
[13]	SUN Weijie, YANG Jun. Research on Remote Sensing Image Segmentation Based on Improved Simple Non-iterative Clustering [J]. Computer Engineering and Applications, 2021, 57(13): 185-192.
[14]	CHEN Lichao, CHAO Xin, CAO Jianfang, PAN Lihu. Application of ResNet with Independent Components in Fine-Grained Vehicle Recognition [J]. Computer Engineering and Applications, 2021, 57(11): 248-253.
[15]	CAI Jianming, ZHANG Xianxian, LIANG Yue. Research on Surveillance Video Coding in Road Traffic Scene [J]. Computer Engineering and Applications, 2021, 57(10): 187-193.

Implementation of modeling and simulation software for satellite Guidance，Navigation and Control

卫星GN&C分系统建模与仿真软件实现

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics