期刊文献+

飞机应急动力系统HIL仿真测试的模型研究

Model of HIL Test for Aircraft Emergency Power System
在线阅读 下载PDF
导出
摘要 传统的应急动力测试试验存在肼燃料泄露的风险,利用模型代替产品对系统进行硬件在环(Hardware-in-the-Loop,HIL)仿真测试,可以减少项目研制风险及费用,缩短产品研制周期。HIL仿真测试的有效性取决于模型对产品的仿真程度。基于各部件工作原理的数学描述,利用Matlab/Simulink对应急动力系统的模型进行研究,并利用模型实现系统的全数字仿真,结果满足要求后,将被控对象模型生成代码下载到实时仿真机进行控制器的HIL测试,模型仿真结果与HIL测试结果基本吻合。 The traditional test of aircraft emergency power system has the risk of hydrazine fuel leakage.Using the model to replace the product to carry out the system’s Hardware-in-the-Loop(HIL)test can reduce the project development risk and costs and shorten the product development cycle.The effectiveness of HIL test depends on the simulation degree of the model to product.Based on the mathematical description of the working principle of each component,the model of the emergency power system is studied with Matlab/Simulink,and the full digital simulation of the system is realized by using the mode.After the results meet the product requirements,the code generated by the controlled object model is downloaded to the real-time simulator for HIL test of the controller.The experimental data show that the model simulation results are consistent with the HIL test results.
作者 高春燕 张春新 田永全 张旋 GAO Chun-yan;ZHANG Chun-xin;TIAN Yong-quan;ZHANG Xuan(Xi'an Xiangxun Technology Co.,Ltd.,Xi'an 710068,China)
出处 《测控技术》 2021年第8期27-32,共6页 Measurement & Control Technology
基金 国家重点研发计划“制造基础技术与关键部件”重点专项(2018YFB2003100)。
关键词 飞机应急动力系统 系统建模 实时仿真 HIL测试 aircraft emergency power system system modeling real-time simulation HIL test
  • 相关文献

参考文献5

二级参考文献30

  • 1谢胜利,田森平,谢振东.基于向量图分析的迭代学习控制非线性算法[J].控制理论与应用,2004,21(6):951-955. 被引量:13
  • 2薛祖德,路林吉,张仁杰.迭代学习控制及其在人工关节试验机电液位置/力伺服系统中的应用[J].上海第二工业大学学报,1994,11(1):1-8. 被引量:1
  • 3付永领,祁晓野.AMESim系统建模和仿真[M].北京:北京航空航天大学出版社,2006.
  • 4孙增祈,张再兴,邓志东.智能控制理论与技术[M].北京:清华大学出版社,1997.
  • 5Uchiyama M.Formulation of high-speed motion of a mechanical arm by trail[J].Transactions of society of Instrumentation and control Engineers,1978,14(6):706-712.
  • 6Arimoto S,Kawamura S,Miyazaki F.Bettering operation of robots by learning[J].Journal of Robotics Systems,1984,1 (2):124-140.
  • 7Bien Z,Huh K M.Higher order iterative learning control algorithm[C]//IEEE Proceedings-Part D:Control Theory and Application.1989:105-112.
  • 8Togai M,Yamano O.Analysis and design of an optimal learning control scheme for industrial robots:a discrete system approach[C]//Proceedings of the 24th IEEE Conference on Decision and Control.Fort Lauderdale,FL,1985:1399-1404.
  • 9Amann N,Owens D H,Rogers E.Iterative learning control for discrete-time systems with exponential rate of convergence[C]//IEEE proceeding-Part D:Control Theory and Application.1996:217-224.
  • 10Estefan J A. Survey of Model-Based Systems Engineering (MBSE) methodologies[R]. INCOSE MBSE Initiative, 2008.

共引文献96

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部