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首页 >> 新闻公告 >> 学术报告 >> 8月14日(周一)下午15:30英国拉夫堡大学陈文华教授学术报告--Gust Alleviation of Small Scale Unmanned Aerial Vehicles using Nonlinear Disturbance Observer Techniques
8月14日(周一)下午15:30英国拉夫堡大学陈文华教授学术报告--Gust Alleviation of Small Scale Unmanned Aerial Vehicles using Nonlinear Disturbance Observer Techniques
2017-08-11 09:46

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报告题目:Gust Alleviation of Small Scale Unmanned Aerial Vehicles using Nonlinear Disturbance Observer Techniques

报告人:陈文华教授(长江讲座教授)

单位:英国拉夫堡大学

时间:2017814日周一下午15:30

地点:中心楼二楼自动化学院教育部重点实验室会议室

主持人:杨俊 副教授

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欢迎各位老师和研究生参加!

 

报告摘要:

Small scale unmanned aerial vehicles (UAVs) (e.g. mini or even smaller micro/nano UAVs) benefited from their small size and light weight are man-portable flying machines suitable for close-in support in contested, cluttered environment. They can find a wide range of applications in both military and civilian operations; such as urban overwatch or structure inspection. However, for the same reason, they are also vulnerable to various changes particularly gusts, payload and structure changes. Gusts and the local airflow due to buildings and other structures may cause serious problems on flight stability and performance. Gust tolerance and alleviation is important for the survivability and the safe operation of this kind of UAV. This presentation will first introduce the nonlinear disturbance observer based control technique, where a nonlinear disturbance observer is designed to estimate external disturbance and the influence of uncertainty and then a compensation mechanism is designed based on the feedforward strategy. This technique is applied to gust alleviation of small scale UAVs where a nonlinear disturbance observer is developed to estimate the forces or torque applied on the aircraft due to wind/gust and integrated with a nominal nonlinear controller. Both helicopters and fixed wing aircraft will be considered in this presentation, with the support of video clips of indoor and outdoor flight tests. 

 

报告人简介:

陈文华, 1988 1991年获东北大学工业自动化专业硕士和博士学位。现任英国拉夫堡大学航空与汽车工程系教授,长江讲座教授。主要从事鲁棒控制,模型预测控制以及非线性干扰观察器控制等方面的研究, 近年来陈文华主要致力于控制,信号处理,决策及人工智能在航空及其它领域的应用。先后共指导20多名博士及博士后. 曾获英国机械工程学会Charles Shape Beecher奖。陈文华曾任全英华人自动化与计算机协会主席, 为英国注册工程师(CEng),工程与技术学会Fellow (IEE),机械工程学会 Fellow

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