Mission-oriented optimization research of aircraft control allocation with multiple control surfaces

Chuanjian Lin, Weiguo Zhang, Jingping Shi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

One of the distinguishing features of the flying wing layout aircraft is that it has more pneumatic control surfaces. The control surfaces are commonly designed at the tail, distributed on both sides of the UAV design axis and away from the center of gravity of the drone. When a single control surface is deflected, Torque is generated on the three-axis channel, which brings about the problem of control coupling. In order to solve this series of problems, this control allocation technology begins to receive more and more attention. The issue of control allocation of multiple control surfaces is essentially an optimization problem. This paper mainly focuses on a flying wing layout drone, explores the target optimization problem of the multiple control surfaces' control allocation, and designs an algorithm to achieve the optimization target according to different mission objectives, and gives the simulation with minimum resistance and minimum radar reflection area as targets. Simulation results illustrate that this method can achieve the expected target under the premise of ensuring the steering torque.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages8026-8030
Number of pages5
ISBN (Electronic)9789881563972
DOIs
StatePublished - Jul 2019
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 27 Jul 201930 Jul 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period27/07/1930/07/19

Keywords

  • Control allocation
  • Flying wing
  • Mission-oriented optimization

Fingerprint

Dive into the research topics of 'Mission-oriented optimization research of aircraft control allocation with multiple control surfaces'. Together they form a unique fingerprint.

Cite this