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Towards Greater Efficiency and Autonomy of VTOL UAVs: Design, Modeling and Control

垂直起降无人机设计、建模与控制(海报pdf版本

欢迎广大师生前来参加学术报告!

  • 2018年4月27日(周五)下午3点半
  • 地点:浙江大学玉泉校区智能系统与控制研究所304教室
  • 请金数据登记报名:https://jinshuju.net/f/q4Qs1H

Abstract: Over last decade, small-size unmanned aerial vehicles (UAVs) have received unprecedented research interests and created extensive applications as well as market opportunities. Currently dominant UAV platforms, such as quadrotors and hexarotors, although exhibits great maneuverability (i.e. vertical takeoff and landing, hovering capability), is inherently energy inefficient by its flight mechanics. This drawback has increasingly limited their application in range- and/or endurance-demanding tasks such as surveying and mapping. Motivated by this, hybrid aerial vehicles such as tail-sitters, tilt-rotors, tilt-props, or dual-propulsion systems can transform between multirotor mode and fixed-wing mode, thus inheriting both benefits. Though having been actively explored in the aviation history, low-cost, small-size hybrid UAVs with increased intelligence and autonomy still poses a grand challenge. In this talk, I will present the development of a portable hybrid vertical takeoff and landing (VTOL) UAV. From a system point of view, three topics will be covered: design, modeling and control. Through the design, implementation and intensive tests, I will show how recent advances in low cost actuator (e.g. motor, propeller, ESCs), computation units and sensors have enabled the development of such small-size hybrid VTOL UAVs, and the arisen opportunities and challenges.

Bio: Dr. Fu Zhang received the B.E. (with honor) from the Department of Automation, University of Science and Technology of China, Hefei, China, in 2011. Then he studied at Department of Mechanical Engineering, the University of California, with full scholarship. He received the Ph.D. degree there in 2015, focusing on the dynamics modeling and control of ultra-high precision machining systems and high performance micro-scale rate integrating gyros funded by DARPA. Dr. Fu Zhang is now a research assistant professor with the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST). His current research interests include the dynamics, control and navigation of unmanned aerial vehicles (UAVs), deep reinforcement learning and optimization.

三维流场测量技术发展动态

三维流场测量技术发展动态(海报PDF版本

  • 时间:2018年4月23日星期一上午9:50
  • 地点:曹光彪楼二期204教室

演讲人:高琪,男,1979年出生,浙大航空航天学院流体工程研究所副教授。《实验流体力学》编委,中国力学学会科学普及工作委员会委员。目前从事三维流场观测的实验研究:研制了国内第一套具有自主知识产权的层析粒子图像测速(PIV)系统,研发了单相机层析PIV技术以及三脉冲速度场/压力场耦合测量的系统。

教育经历

  • 浙江大学工程力学系                       学士
  • 清华大学工程力学系                       硕士
  • 明尼苏达大学航空工程与力学系     博士

报告摘要:近年来,实验流体力学测量技术在很多方面有了显著的发展。人们不再满足对单一物理量的单点或者平面数据进行实验测量,而向往和数值计算结果一样,获得多物理场耦合的三维空间体内的实验测量结果。为了突破对简单流动工况测量的局限性,人们针对非定常复杂流动,采用声、光、电和磁等多种物理测量手段来实现流场测量。在实验测量技术的复杂化过程中,出现了两种较新的三维测量技术:层析粒子图像测速(TPIV)和磁共振测速(MRV)。这两种技术分别采用光学和磁场成像技术来实现流场的测量。另一方面,在实验数据处理和分析过程中出现一种让人眼前一亮的趋势,就是通过引入物理约束,或者说利用流动控制方程来优化实验结果、进行杂交的数值模拟计算和对流场的预测。这一发展方向上,最具代表性的就是通过时间解析的三维速度场来重构流场三维压力场的技术。本报告将从测量技术和数据处理这两方面来介绍三维流场测量技术发展的最新动向。