机械式反操作负载模拟器优化设计与仿真

王巍; 李雄峰; 张新华; 于文鹏

机械式反操作负载模拟器优化设计与仿真

1.
北京航空航天大学机械工程及自动化学院, 北京 100191
2. 北京自动化控制设备研究所, 北京 100074

基金项目: 国家自然科学基金资助项目(50605501)

详细信息

中图分类号: TH 122; V 224
计量
- 文章访问数: 4145
- HTML全文浏览量: 134
- PDF下载量: 1036
- 被引次数: 0
出版历程
- 收稿日期: 2009-12-15
- 网络出版日期: 2011-02-28

Design optimization and simulation of mechanical anti-load simulator

1.
School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
2. Beijing Institute of Automatic Control Equipment, Beijing 100074, China

摘要

摘要: 对设计的负载模拟器采用复数矢量法与虚位移原理建立其机构动力学与多余力矩数学模型.在此基础上针对传统遗传算法优化解不一致的情况,提出了基于参数灵敏度分层的遗传算法优化方法并对设计中各参数进行了优化.根据优化结果设计虚拟样机,并利用ADAMS进行多种加载信号的仿真,结果表明样机各项指标均达到设计要求,依此设计出一套可同时进行环境试验与多种负载加载的反操作负载模拟器.
- 反操作负载模拟器 /
- 灵敏度 /
- 遗传算法 /
- 仿真
Abstract: The dynamics and extraneous torques models of an anti-load simulator were built according to the complex vector and virtual displacement principles respectively. To avoid the problem that the solution is not consistent when the traditional genetic algorithm (GA) is used in the parameters optimization, the hierarchical optimization of GA based on the parametric sensitivity was applied to optimize the design parameters of the mechanism of the anti-load simulator. Then a virtual prototype was designed according to the optimizing results, and testified by the simulation in ADAMS with various loads applied. The results show that the prototype is able to withstand the complex environment conditions and loads in simulating tests. Finally, the real anti-load simulator was established with functions working in environment tests and under various loads.
- anti-load simulator /
- sensitivity /
- genetic algorithm /
- simulation

HTML全文

参考文献(1)

[1] Nam Yoonsu,Lee Jinyoung,Hong Sung Kyung.Force control system design for aerodynamic load simulator //IEEE Proceedings of the American Control Conference.Chicago:AACC,2000:3043-3047 [2] Walter Haeussermann.Developments in the field of automatic guidance and control of rockets[J].IEEE J Guidance and Control,1981,4(3):225-239 [3] 曹彤,孙杏初,欧阳沁,等.舵机反操纵负载台设计[J].北京航空航天大学学报,2003,29(3):252-254 Cao Tong,Sun Xingchu,Ouyang Qin,et al.Design of loading stand for reverse operation of navigating machine[J].Journal of Beijing University of Aeronautics and Astronautics,2003,29(3):252-254(in Chinese) [4] 王冰.基于ANSYS和ADAMS的舵机反操作力矩加载试验台的仿真分析与研究[J].军民两用技术与产品,2007(8):43-44 Wang Bing.Simulation analysis and research on loading stand for reverse operation of navigating machine with ANSYS & ADAMS[J].Dual Use Technologies & Products,2007(8):43-44 (in Chinese) [5] 郭蓉.平面连杆机构计算机辅助设计方法的研究 .合肥:合肥工业大学机械与车辆工程学院,2005 Guo Rong.Study on CAD System for plane linkage mechanism . Hefei:School of Mechanical and Automobile Engineering,Hefei University of Technology,2005(in Chinese) [6] 曲秀全.基于MATLAB/Simulink平面连杆机构的动态仿真[M].哈尔滨:哈尔滨工业大学出版社,2007 Qu Xiuquan.Dynamic simulation of planar linkage based on MATLAB/Simulink[M]. Harbin:Harbin Institute of Technology Press,2007(in Chinese) [7] Laribi M A,Romdhane L,Mlika A,et al.A combined genetic algorithm-fuzzy logic method (GA-FL) to design a 6 bars planar mechanism //ASME 7th Biennial Conference on Engineering Systems Design and Analysis.Manchester:ASME,2004:733-738 [8] Zhang Ke.Dynamics design of a planar controllable five bar mechanism based on genetic algorithm //ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.Las Vegas:ASME,2007:821-827 [9] Li Rui,Chang Tian,Wang Jianwei,et al.Multi-objective optimization design of gear reducer based on adaptive genetic algorithms //International Electronic Conference on Computer Science.Beijing:AIP,2008:237-277 [10] Liu Tung-Kuan,Chen Chiu-Hung,Tsai Shang-En.Optimization on robot arm machining by using genetic algorithms //The 2007 International Conference on Mechatronics and Information Technologys.Gifu:SPIE,2007,679431:1-6 [11] Boudreau R,Gosselin C M.The synthesis of planar parallel manipulators with a genetic algorithm[J].ASME: Journal of Mechanical Design,1999,121(4):533-537 [12] Liu Yi,Mcphee John.Automated type synthesis planar mechanisms using numeric optimization with genetic algorithms[J].ASME:Journal of Mechanical Design,2005,127(5):910-916

施引文献

资源附件(0)

访问统计