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

Ying-Chih Lai, Quang Le Tri

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2017 2nd International Conference on Control and Robotics Engineering, ICCRE 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面92-96
頁數5
ISBN(電子)9781509037735
DOIs
出版狀態Published - 2017 五月 26
事件2nd International Conference on Control and Robotics Engineering, ICCRE 2017 - Bangkok, Thailand
持續時間: 2017 四月 12017 四月 3

出版系列

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

Other

Other2nd International Conference on Control and Robotics Engineering, ICCRE 2017
國家Thailand
城市Bangkok
期間17-04-0117-04-03

All Science Journal Classification (ASJC) codes

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

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