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The design and implement of micro autopilot system for low-altitude mapping of MAV

  • Beihang University

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

Abstract

To improve the precision issues of navigation measurements, flight tracking control and aerial stable platform control for the low-altitude mapping of MAV (Micro Aerial Vehicle), a flight autopilot was designed. The embedded system based on high-speed microcontroller and DSP was utilized, to realize the complex algorithms of navigation and control. The data fusion algorithms on MIMU (Micro Inertial Measurement Unit) and dual GPS module were utilized, to achieve highprecision measurement of navigation information such as attitude, heading, position. The advanced PID controllers were designed to improve the accuracy of the flight tracking control. Through the aeroboat experiment, the navigation precision for designed autopilot was compared with high-precision POS (Position and Orientation System). Through the flight experiment for MAV, high-precision tracking control was achieved, and the high-precision attitude and heading were provided for the aerial platform. The experimental results show that the autopilot can basically satisfy the requirements of low-altitude stable mapping of MAV.

Original languageEnglish
Title of host publication2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings
Pages1744-1748
Number of pages5
DOIs
StatePublished - 2011
Event2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Inner Mongolia, China
Duration: 15 Jul 201117 Jul 2011

Publication series

Name2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings

Conference

Conference2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011
Country/TerritoryChina
CityInner Mongolia
Period15/07/1117/07/11

Keywords

  • Aerial stable platform
  • Autopilot
  • Data fusion
  • Dual GPS
  • MAV
  • Mapping
  • Tracking control

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