A Q,R search method for an unmanned helicopter based on LQR

Benfu Wang, Xiangyang Xu, Yaping Dai, Guangjun Shi

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

2 Citations (Scopus)

Abstract

Based on a simplified mathematical model of a certain type of unmanned helicopter (UMH), this paper realizes its longitudinal hovering attitude control Based on LQR (linear quadratic regulator). This paper starts with practice, and designs Q, R parameter search algorithm for this type of unmanned helicopter. Simulation results show that this algorithm can find the optimal Q, R parameters, so it has important engineering significance.

Original languageEnglish
Title of host publicationProceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
Pages214-217
Number of pages4
DOIs
Publication statusPublished - 2013
Event2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013 - Hangzhou, Zhejiang, China
Duration: 26 Aug 201327 Aug 2013

Publication series

NameProceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
Volume2

Conference

Conference2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
Country/TerritoryChina
CityHangzhou, Zhejiang
Period26/08/1327/08/13

Keywords

  • Digital simulation
  • Hovering
  • LQR
  • Q
  • R search
  • Unmanned helicopter

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