Vision aided state estimator for helicopter slung load system

Morten Bisgaard*, Anders La Cour-Harbo, Eric N. Johnson, Jan Dimon Bendtsen

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

33 Citations (Scopus)

Abstract

This paper presents the design and verification of a state estimator for a helicopter based slung load system. The estimator is designed to augment the IMU driven estimator found in many helicopter UAV's and uses vision based updates only. The process model used for the estimator is a simple 4 state acceleration driven pendulum. Sensor input for the filter is provided by a vision based system that measures the position of the slung load. The estimator needs no prior knowledge of the system as it estimates the length of the suspension system together with the system states. Finally the estimator is verified using flight data and it is shown that it is capable of reliably estimating the slung load states.

Original languageEnglish
Title of host publicationACA' 2007 - 17th IFAC Symposium on Automatic Control in Aerospace - Proceedings
Number of pages6
PublisherElsevier
Publication date1 Dec 2007
Pages425-430
ISBN (Print) 978-3-902661-24-1
DOIs
Publication statusPublished - 1 Dec 2007
Event17th IFAC Symposium on Automatic Control in Aerospace, ACA' 2007 - Toulouse, France
Duration: 25 Jun 200729 Jun 2007

Conference

Conference17th IFAC Symposium on Automatic Control in Aerospace, ACA' 2007
Country/TerritoryFrance
CityToulouse
Period25/06/200729/06/2007
SeriesIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume17
ISSN1474-6670

Keywords

  • Slung load
  • UAV
  • Unscented Kalman filter
  • Vision based estimation

Fingerprint

Dive into the research topics of 'Vision aided state estimator for helicopter slung load system'. Together they form a unique fingerprint.

Cite this