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基于SysML与Simulink的机载传感器建模方法

Modeling Method of Airborne Sensors Based on SysML and Simulink
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摘要 飞行器管理系统的传感器具有种类繁多、易受环境因素干扰、冗余设计等特点。而以往系统的传感器建模过程中,主要依靠简单的数学公式模拟部件的主要特性,忽略了绝大部分的真实细节,无法高度还原系统特性。基于模型的系统工程(Model Based System Engineering, MBSE)思想,提出一种高度还原飞行器管理系统传感器特性的建模方法,并给出建模步骤。利用系统建模语言(Systems Modeling Language, SysML)的各类图形,对系统传感器的物理特征、不同工作状态以及余度设计等特点建立模型;并基于Simulink建立传感器的连续动态行为模型;最后,通过联合仿真对整体模型进行验证。结果表明,上述方法实现了对系统传感器真实物理特性的全面描述,提高了传感器模型的仿真度。 The sensors in aircraft management system have many characteristics, such as various types, easily disturbed by environmental factors, redundant design and so on. In the past, the sensor modeling of the system mainly relied on simple mathematical formula to simulate the main characteristics of the components. And most of the real details were ignored, so the system characteristics could not be highly restored. In this paper, based on the idea of Model Based System Engineering(MBSE), a modeling method of highly restoring sensor characteristics of aircraft management system is proposed and the modeling steps is given. The physical characteristics, different working states and redundancy design of system sensors were modeled by using various graphics of Systems Modeling Language(SysML). The continuous dynamic behavior model of sensors was established based on Simulink. Finally, the whole model was verified by co-simulation. The results show that the method can fully describe the real physical characteristics of the system sensor and improve the fidelity of the sensor model.
作者 韦彩色 王新尧 陈纪磊 陶江 WEI Cai-se;WANG Xin-yao;CHEN Ji-lei;TAO Jiang(State-owned Changhong Machinery Factory,Guilin Guangxi 541003,China;College of Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 210016,China;AVIC Shenyang Institute of Aircraft Design and Research,Shenyang Liaoning 110035,China)
出处 《计算机仿真》 北大核心 2021年第10期94-100,共7页 Computer Simulation
基金 重点实验室基金(614250402020317) 中央高校基本科研业务费资助项目(NP2019105)。
关键词 系统建模语言 飞行器管理系统 传感器 集成仿真 Systems modeling language(SysML) Aircraft management system Sensors Co-simulation
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