基于IL的飞机防滑刹车系统反馈补偿控制研究

doi:10.16182/j.issn1004731x.joss.201707030

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (7): 1625-1630.doi: 10.16182/j.issn1004731x.joss.201707030

• 短文 • 上一篇

基于IL的飞机防滑刹车系统反馈补偿控制研究

高洁¹, 高冰², 刘建英¹

1. 中国民航大学电子信息与自动化学院,天津 300300;
2. 中国民航大学工程技术训练中心,天津 300300

收稿日期:2016-06-12 发布日期:2020-06-01
作者简介:高洁(1984-),女,陕西合阳,博士,讲师,研究方向为电机及其控制;高冰(1983-),男,河北唐山,硕士,讲师,研究方向为控制理论与应用。
基金资助:
中央高校基本科研项目(3122013D018)

Research on Feedback Compensation Control for Aircraft Electric Antiskid Brake System Based on IL

Gao Jie¹, Gao Bing², Liu Jianying¹

1. School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China;
2. Engineering Techniques Training Center, Civil Aviation University of China, Tianjin 300300, China

Received:2016-06-12 Published:2020-06-01

摘要/Abstract

摘要： 防滑刹车直接决定了飞机刹车的安全性、高效性以及舒适性。鉴于目前防滑刹车系统存在控制率不足的问题,通过分析飞机着陆过程,建立了飞机全电刹车系统的非线性模型,针对防滑控制往复性特点引入迭代学习算法,利用PD型学习率对不同速度及路面条件进行分组训练,建立最佳滑移率与速度、路面条件关系的知识库,设计出能够在线辨识不同路面条件的前馈控制知识系统,利用反馈补偿控制机制实现了系统的抗扰动性;通过Matlab仿真证明了该控制方法的优越性：能够保持最佳滑移率,缩短刹车距离,实现了平稳刹车。

关键词: 防滑刹车, 非线性模型, 迭代学习, 滑移率, 结合系数, 反馈补偿

Abstract: Safety, efficiency and comfort of aircraft are all determined by antiskid braking system. Because of the problem of inadequate control in the anti-skid braking system, the nonlinear model of the aircraft electric braking system was built by the analysis of aircraft landing process, and the iterative learning algorithm was introduced for reciprocating characteristics of anti-skid control. The groups in different speeds and road conditions were trained using the PD type learning rate. The knowledge base on the relationship among the optimal slip ratio and velocity and road conditions was built. The feed-forward control knowledge system for identifying the different road conditions was designed. The anti-disturbance of the system was realized by the feedback compensation control strategy. Simulation results prove that the system can maintain the best slip rate, shorten the braking distance, and finally achieve a smooth brake.

Key words: antiskid brake, nonlinear model, iterative learning, slip rate, ground adhesion coefficient, feedback compensation

中图分类号:

V227+.5

高洁, 高冰, 刘建英. 基于IL的飞机防滑刹车系统反馈补偿控制研究[J]. 系统仿真学报, 2017, 29(7): 1625-1630.

Gao Jie, Gao Bing, Liu Jianying. Research on Feedback Compensation Control for Aircraft Electric Antiskid Brake System Based on IL[J]. Journal of System Simulation, 2017, 29(7): 1625-1630.

参考文献

[1] Wei Xiaohui, Yin Qiaozhi, Nie Hong, et al.Aircraft Electric Anti-skid Braking System Based on Fuzzy-PID Controller with Parameter Self-adjustment Feature[J]. Journal of Nanjing University of Aeronautics and Astronautics (S1005-2615), 2014, 31(1): 111-118.
[2] 李玉忍, 张智慧, 徐健龙. 飞机防滑刹车模糊滑模变结构控制研究[J]. 西北工业大学学报, 2015, 33(1): 45-49.
(Li Yuren, Zhang Zhihui, Xu Jianlong.Study on Fuzzy Sliding-Mode Variable Structure Control for Aircraft Anti-Skid Braking[J]. Journal of Northwestern Polytechnical University, 2015, 33(1): 45-49.)
[3] 李玉忍, 马瑞卿, 薛晶, 等. 飞机防滑刹车系统的变结构控制研究[J]. 西北工业大学学报, 2009, 26(6): 752-755.
(Li Yuren, Ma Ruiqing, Xue Jing, et al.Improving Variable Structure Control of Aircraft Anti-Skid Brake System[J]. Journal of Northwestern Polytechnical University, 2009, 26(6): 752-755.)
[4] 何恒, 吴瑞祥, 黄伟明. 基于ANN 与FNN 的飞机防滑刹车系统设计[J]. 航空学报, 2005, 26(1): 116-120.
(He Heng, Wu Rui-xiang, Huang Wei-ming.Design of Aircraft Antiskid Brake System with ANN and FNN[J]. Acta Aeronautica Et Astronautica Sinica, 2005, 26(1): 116-120.)
[5] 何恒, 吴瑞祥. 改进的BP神经网络在飞机防滑刹车系统的应用[J]. 北京航空航天大学学报, 2004, 30(6): 561-564.
(He Heng, Wu Rui-xiang.Improved BP neural network in design of aircraft antiskid brake system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(6): 561-564.)
[6] 李丰羽, 焦宗夏. 基于结合力模型的自适应飞机防滑刹车控制[J]. 北京航空航天大学学报, 2013, 39(4): 447-452.
(Li Fengyu, Jiao Zongxia.Adaptive Control for Aircraft Anti-Skid Braking System Based on Friction Force Model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(4): 447-452.)
[7] 张兴国, 林辉, 张彤, 等. 迭代学习控制在飞机全电刹车系统中的应用[J]. 电光与控制, 2008, 15(5): 54-58.
(Zhang Xing-guo, Lin Hui, Zhang Tong, et al.Application of iterative learning control in aircraft all- electric braking system[J]. Electronics Optics & Control, 2008, 15(5): 54-58.)
[8] 陈晓雷, 林辉, 李兵强, 等. 飞机全电刹车系统滑移率约束反演滑模控制[J]. 上海交通大学学报, 2015, 49(12): 1855-1861.
(Chen Xiao-lei, Lin Hui, Li Bing-qiang, et al.Backstepping sliding mode control for aircraft electric braking systems with slip ratio constraint[J]. Journal of Shanghai Jiao Tong University, 2015, 49(12): 1855-1861.)
[9] 王纪森,何长安. 飞机轮胎与跑道间结合系数模型的研究[J]. 西北工业大学学报, 2000, 18(4): 569-571.
(Wang Ji-sen, He Chang-an.Determination of Tire Runway Friction Coefficient[J]. Journal of Northwestern Polytechnical University, 2000, 18(4): 569-571.)
[10] Tanner J A.Review of NASA Antiskid Braking Research [R]. NASA Langley Research Center, Virginia SAE 821393, 1982. USA: NASA, 1982.
[11] 刘作军, 任士荣, 杨鹏, 等. 基于柔性迭代学习控制和反馈补偿的空调系统节能策略[J]. 河北工业大学学报, 2009, 38(3): 59-64.
(Liu Zuo-jun, Ren Shi-rong, Yang Peng, et al.Study on Energy Saving of Air Conditioning System Based on Flexible ILC with Feedback Compensation[J]. Journal of Hebei University of technology, 2009, 38(3): 59-64.)

基于IL的飞机防滑刹车系统反馈补偿控制研究

Research on Feedback Compensation Control for Aircraft Electric Antiskid Brake System Based on IL

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