报告时间：2021年12月3日16:00-17:00
报告地点：腾讯会议ID: 198 472 438
报告人：Amirmehdi Yazdani
工作单位：澳大利亚默多克大学
举办单位：BETVLCTOR伟德官方网站
报告人简介：
Dr. Amirmehdi Yazdani received his master’s degree in Mechatronics & Automatic Control from Universiti Teknologi Malaysia in 2012 and his PhD degree in Electrical & Control Engineering from Flinders University, Australia, in 2017. From 2017 to 2018, he was employed as a Postdoctoral Research Associate by Flinders University and worked as an R& D consultant with Electronics industry in Adelaide as well. He joined Murdoch University, Discipline of Engineering and Energy, as a Lecturer in Electrical Engineering in 2019. He is currently serving as an Academic Chair of Engineering Technology, Electrical Power Engineering, and Renewable Energy Engineering at Murdoch University and known as one of the Directors of Robotics and Autonomous Systems Laboratory at Murdoch University as well. He is also serving as the Chair of IEEE Industrial Electronic Society, Western Australia Chapter in 2021. Dr. Yazdani has been actively engaged in the research areas concerned with guidance and control of robotic, autonomous, and mechatronic systems, adaptive and nonlinear control, and intelligent control applications and completed different industry-related projects. He is also currently engaging as the Guest Editor of three special issues of different journals of the field.
报告简介：
Autonomous underwater vehicles (AUVs) are increasingly being used for underwater survey and exploration missions. The expanding mission scope for AUVs highlights the need for a long-endurance operational capability, which mainly depends on propulsion system efficiency and battery capacity. The use of submerged docking stations permitting battery recharge and data download/upload offers a means of enabling persistence without compromising propulsion and payload power budgets, while also reducing associated deployment/recovery costs and risks. Autonomous docking with an underwater station is, however, complicated by the presence of currents and obstacles in the water, and by the relative dynamic differences in pose between the dock and the vehicle. A robust docking guidance system is identified as a core and crucial component for ensuring successful AUV docking. This talk presents the current state-of-the-art in AUV docking operation and specifically docking guidance systems, identifying their relative merits and shortcomings, and revealing the docking guidance methodologies that seems to be the most prominent.
平兆武/文 赵吉文/审核
