Software and hardware environments for simulation and verification of an autonomous flight control based on fuzzy logic control for small unmanned helicopter

Ying-Chih Lai, Yu Chen Ke, Quang Le Tri, Fuh Sen Yang, Tzong Hann Shieh

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

1 Citation (Scopus)

Abstract

Unmanned helicopter is an air vehicle with high dynamic motions. The development of the autonomous flight control for unmanned helicopters is limited by the inherent instability and the nonlinearity of its dynamic model. The objective of this paper is to build a development environment for the autonomous flight control of unmanned helicopters. At the beginning of the study, a software-in-the-loop (SIL) simulation system was implemented. Then, fuzzy logic control (FLC) was adopted and employed to demonstrate the autonomous flight of a target radio-controlled (RC) helicopter in a flight simulator, X-plane. Finally, a Hardware-in-the-loop (HIL) simulation system was built to verify the performance of the developed autonomous flight control system for two flight modes, altitude hold and position fixed modes. The results of the simulations reveal that the developed simulation environment is viable for the development of the autonomous flight control system for unmanned helicopters.

Original languageEnglish
Title of host publication2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages673-677
Number of pages5
ISBN (Electronic)9781509060870
DOIs
Publication statusPublished - 2017 Jun 7
Event3rd International Conference on Control, Automation and Robotics, ICCAR 2017 - Nagoya, Japan
Duration: 2017 Apr 222017 Apr 24

Publication series

Name2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017

Other

Other3rd International Conference on Control, Automation and Robotics, ICCAR 2017
Country/TerritoryJapan
CityNagoya
Period17-04-2217-04-24

All Science Journal Classification (ASJC) codes

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

Fingerprint

Dive into the research topics of 'Software and hardware environments for simulation and verification of an autonomous flight control based on fuzzy logic control for small unmanned helicopter'. Together they form a unique fingerprint.

Cite this