System identification and control of a small unmanned helicopter at hover mode

Ying-Chih Lai, Quang Le Tri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Acquiring the dynamic model of a helicopter is one of the most important requirement before the design of an autonomous model-based flight control. The objective of the study is to identify the pitch, roll, heave, and yaw dynamic models of the used virtual helicopter, Raptor, in X-Plane flight simulator. A software-in-the-loop (SIL) was then developed by using all estimated models. In this study, the subspace method and prediction error method (PEM) were investigated to identify the dynamic models. The model predictive control (MPC) was adopted to perform the autonomous control in SIL. The results demonstrated that the proposed approach is viable for the autonomous flight control for the small helicopter.

Original languageEnglish
Title of host publication2017 2nd International Conference on Control and Robotics Engineering, ICCRE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages92-96
Number of pages5
ISBN (Electronic)9781509037735
DOIs
Publication statusPublished - 2017 May 26
Event2nd International Conference on Control and Robotics Engineering, ICCRE 2017 - Bangkok, Thailand
Duration: 2017 Apr 12017 Apr 3

Publication series

Name2017 2nd International Conference on Control and Robotics Engineering, ICCRE 2017

Other

Other2nd International Conference on Control and Robotics Engineering, ICCRE 2017
CountryThailand
CityBangkok
Period17-04-0117-04-03

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization

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