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

09/01/2018
by   Xunhua Dai, et al.
0

Multicopters are becoming increasingly important in both civil and military fields. Currently, most multicopter propulsion systems are designed by experience and trial-and-error experiments, which are costly and ineffective. This paper proposes a simple and practical method to help designers find the optimal propulsion system according to the given design requirements. First, the modeling methods for four basic components of the propulsion system including propellers, motors, electric speed controls, and batteries are studied respectively. Secondly, the whole optimization design problem is simplified and decoupled into several sub-problems. By solving these sub-problems, the optimal parameters of each component can be obtained respectively. Finally, based on the obtained optimal component parameters, the optimal product of each component can be quickly located and determined from the corresponding database. Experiments and statistical analyses demonstrate the effectiveness of the proposed method.

READ FULL TEXT
research
09/01/2018

A Practical Design Optimization Method for Multicopter Propulsion Systems

Multicopters are becoming increasingly important in both civil and milit...
research
12/26/2019

Discussion of Intelligent Electric Wheelchairs for Caregivers and Care Recipients

In order to reduce the burden on caregivers, we developed an intelligent...
research
03/31/2022

Design of a robot for the automatic charging of an electric car

In this paper, a robot with parallel architecture is proposed for chargi...
research
11/04/2019

Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE

The optimization of electric machines at multiple operating points is cr...
research
08/06/2021

Co-design Optimization for Underwater Vehicle Docking Systems

The design of autonomous underwater vehicles (AUVs) and their docking st...
research
08/29/2023

Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles

The exponential growth of electric vehicles (EVs) presents novel challen...

Please sign up or login with your details

Forgot password? Click here to reset