[1]董磊,陈增强,孙明玮,等.采用智能算法参数整定的磁流变减摆自抗扰控制[J].智能系统学报,2022,17(5):951-959.[doi:10.11992/tis.202109012]
DONG Lei,CHEN Zengqiang,SUN Mingwei,et al.Active disturbance rejection control of the magneto-rheological shimmy damper based on the smart chaos fractional-order beetle swarm optimization algorithm[J].CAAI Transactions on Intelligent Systems,2022,17(5):951-959.[doi:10.11992/tis.202109012]
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DONG Lei,CHEN Zengqiang,SUN Mingwei,et al.Active disturbance rejection control of the magneto-rheological shimmy damper based on the smart chaos fractional-order beetle swarm optimization algorithm[J].CAAI Transactions on Intelligent Systems,2022,17(5):951-959.[doi:10.11992/tis.202109012]
采用智能算法参数整定的磁流变减摆自抗扰控制
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
17
期数:
2022年第5期
页码:
951-959
栏目:
学术论文—智能系统
出版日期:
2022-09-05
- Title:
- Active disturbance rejection control of the magneto-rheological shimmy damper based on the smart chaos fractional-order beetle swarm optimization algorithm
- 关键词:
- 飞机前起落架; 摆振; 磁流变阻尼器; 改进的Bouc-wen模型; 减摆; 自抗扰控制; 天牛群算法; 混沌分数阶天牛群算法; 参数优化; 鲁棒性
- Keywords:
- aircraft front landing gear; shimmy; magneto-rheological damper; modified Bouc-wen model; shimmy reduce; active disturbance rejection control; beetle swarm optimization; chaos fractional order beetle swarm optimization; parameters optimization; robustness
- 分类号:
- TP273
- 文献标志码:
- 2022-06-21
- 摘要:
- 为了提高飞机起飞和降落过程中的稳定性及安全性，采用磁流变阻尼器进行飞机前轮摆振控制。本文描绘了改进的Bouc-wen模型磁流变阻尼器的力学特性，并将之用于一个三自由度的飞机前起落架模型中，而后为此设计了减摆自抗扰控制器(active disturbance rejection control, ADRC)；然后采用混沌分数阶天牛群算法整定优化自抗扰控制器的参数。最后，仿真结果显示经智能算法优化参数后的减摆自抗扰控制器能够较好地控制摆振现象，并且其性能具有一定的鲁棒性。
- Abstract:
- To improve the stability and safety of an aircraft during the take-off and landing, a magneto–rheological damper is applied to the shimmy control of its front wheel. In this paper, the mechanical properties of a modified Bouc–Wen magneto–rheological damper are described, which is used in an aircraft landing gear model with three degrees of freedom and for which a third-order active disturbance rejection controller (ADRC) is later designed; subsequently, the chaos fractional-order beetle swarm optimization is used to optimize the controller parameters. Finally, the simulation results indicate that the controller with optimized parameters exhibits good performance in shimmy reducing control with certain robustness.
- 参考文献/References:
-
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备注/Memo
收稿日期:2021-09-03。
基金项目:国家自然科学基金项目（61973175，61573177，61973172）
作者简介:董磊，硕士研究生，主要研究方向为智能预测控制、自抗扰控制;陈增强，教授，博士生导师，中国自动化学会数据驱动控制、学习与优化专业委员会副主任，中国人工智能学会智能空天专业委员会副主任，天津市自动化学会理事。主要研究方向为智能控制、预测控制、自抗扰控制。主持完成国家863项目和国家自然科学基金项目6项，获得省部级科技奖5次，发表学术论文300余篇;孙明玮，教授，博士生导师，中国仿真学会理事，中国自动化学会数据驱动控制、学习与优化专业委员会委员，主要研究方向为飞行器制导与控制、自抗扰控制。主持国防科技攻关项目和国家自然科学基金项目4项，获得国防科技进步奖3次，发表学术 论文50余篇
通讯作者:陈增强. E-mail：chenzq@nankai,edu.cn
更新日期/Last Update:
1900-01-01