activity
20182023
most citedAn Analytical Design Optimization Method for Electric Propulsion Systems of Multicopter UAVs with Desired Hovering Endurance

103 citations · 140 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2023★ 1 cited

RflyMAD: A Dataset for Multicopter Fault Detection and Health Assessment

Xiangli Le, Bo Jin, Gen Cui +2

This paper presents an open-source dataset RflyMAD, a Multicopter Abnomal Dataset developed by Reliable Flight Control (Rfly) Group aiming to promote the development of research fi…

eess.SY2020★ 1 cited

A Lifting Wing Fixed on Multirotor UAVs for Long Flight Ranges

Kun Xiao, Yao Meng, Xunhua Dai +2

This paper presents a lifting-wing multirotor UAV that allows long-range flight. The UAV features a lifting wing in a special mounting angle that works together with rotors to supp…

eess.SY2019★ 1 cited

Design Automation and Optimization Methodology for Electric Multicopter UAVs

Xunhua Dai, Quan Quan, Kai-Yuan Cai

The traditional multicopter design method usually requires a long iterative process to find the optimal design based on given performance requirements. The method is uneconomical a…

eess.SY2019★ 2 cited

Unified Simulation and Test Platform for Control Systems of Unmanned Vehicles

Xunhua Dai, Chenxu Ke, Quan Quan +1

Control systems on unmanned vehicles are safety-critical systems whose requirements on reliability and safety are ever-increasing. Currently, testing a complex autonomous control s…

eess.SY2019★ 2 cited

Simulation Credibility Assessment Methodology with FPGA-based Hardware-in-the-loop Platform

Xunhua Dai, Chenxu Ke, Quan Quan +1

Electronic control systems are becoming more and more complicated, which makes it difficult to test them sufficiently only through experiments. Simulation is an efficient way in th…

eess.SY2018★ 103 cited

An Analytical Design Optimization Method for Electric Propulsion Systems of Multicopter UAVs with Desired Hovering Endurance

Xunhua Dai, Quan Quan, Jinrui Ren +1

Multicopters are becoming increasingly important in both civil and military fields. Currently, most multicopter propulsion systems are designed by experience and trial-and-error ex…

eess.SY2018★ 30 cited

Terminal Iterative Learning Control for Autonomous Aerial Refueling under Aerodynamic Disturbances

Xunhua Dai, Quan Quan, Jinrui Ren +2

This paper studies the model of the probe-drogue aerial refueling system under aerodynamic disturbances, and proposes a docking control method based on terminal iterative learning…