An actuator allocation method for a variable-pitch propeller system of quadrotor-based uavs

4Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

Abstract

This paper presents a control allocation method for enhancing the attitude following performance and the energy efficiency of a variable-pitch propeller (VPP) system on quadrotorbased unmanned aerial vehicles. The VPP system was modeled according to the blade element momentum (BEM) theory, and an actuator allocation method was developed with the aim of enhancing the attitude control and energy performance. A simulation environment was built to validate the VPP system by creating a thrust and moment database from the experiments. A fourmotor variable-pitch quadrotor was built for verifying the proposed method. The control allocation method was firstly verified in a simulation environment, and was then implemented in a flight controller for indoor flight experiments. The simulation results show the proposed control allocation method greatly improves the yaw following performance. The experimental results demonstrate a difference in the energy consumption through various pitch angles, as well as a reduction in energy consumption, by applying this VPP system.

References Powered by Scopus

PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms

582Citations
N/AReaders
Get full text

A camera-based target detection and positioning UAV system for search and rescue (SAR) purposes

180Citations
N/AReaders
Get full text

Comparison of fixed and variable pitch actuators for agile quadrotors

103Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Chang, C. W., Chen, S., Wen, C. Y., & Li, B. (2020). An actuator allocation method for a variable-pitch propeller system of quadrotor-based uavs. Sensors (Switzerland), 20(19), 1–17. https://doi.org/10.3390/s20195651

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 11

73%

Professor / Associate Prof. 2

13%

Lecturer / Post doc 1

7%

Researcher 1

7%

Readers' Discipline

Tooltip

Engineering 10

77%

Computer Science 1

8%

Sports and Recreations 1

8%

Physics and Astronomy 1

8%

Save time finding and organizing research with Mendeley

Sign up for free