电光与控制, 2013, 20 (3): 89, 网络出版: 2013-03-27  

飞行模拟器电动操纵负荷系统的迭代学习控制研究

Iterative Learning Control of Electric Controlled Loading System of Flight Simulator
作者单位
1 空军航空大学军事仿真技术研究所, 长春 130022
2 东北师范大学, 长春 130022
3 装备指挥技术学院, 北京 101416
摘要
为提高电动操纵负荷系统力感跟踪精度、动态性能, 阐述了电动操纵负荷系统组成及工作原理; 建立系统数学模型, 在电流和速度双环伺服控制的基础上, 提出迭代学习控制加前馈补偿复合控制策略; 利用阶跃与正弦响应信号对系统进行仿真测试和分析。仿真结果表明, 采用迭代学习加前馈控制策略, 系统跟踪精度进一步提高, 动态性得到改善, 可应用于实际操纵负荷系统。
Abstract
The purpose of this paper is to enhance the tracking accuracy and dynamic performance of electric controlled loading system.Firstly the composition and working principle of electric controlled loading system were described and the system mathematical model was established.An Iterative Learning Control (ILC) & feed-forward compensation composite control strategy was proposed on the basis of the dual loops of current and velocity.At last step response and sinusoidal response signals were used to test the control strategy.The results indicated that the compound control method can improve the system tracking accuracy and improve the dynamic performance which can find application in practical load control systems.

段永胜, 卢颖, 任贝贝, 闫梁. 飞行模拟器电动操纵负荷系统的迭代学习控制研究[J]. 电光与控制, 2013, 20(3): 89. DUAN Yongsheng, LU Ying, REN Beibei, YAN Liang. Iterative Learning Control of Electric Controlled Loading System of Flight Simulator[J]. Electronics Optics & Control, 2013, 20(3): 89.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!