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Data fusion algorithm for the altitude and vertical speed estimation of the VTOL platform

  • Silesian University of Technology

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

An approach to the autonomous of the realization VTOL platform take-off and landing significantly simplifies the operator labor to control such device. At the same time, implementation of these control scenarios allows to perform these tasks under failure conditions (for example communication breakdowns). One condition of proper operation of the vertical movement control system is the ability to provide reliable information about the altitude of the controlled platform. In this paper one of the solutions for obtaining estimate of the altitude based on sensor data fusion is presented. Proposed scheme uses information obtained from pressure sensor, inertial measurement unit, ultrasonic sensor and GPS, all of these instruments are nowadays very often mounted on VTOL platforms.

Original languageEnglish
Pages (from-to)413-420
Number of pages8
JournalJournal of Intelligent and Robotic Systems: Theory and Applications
Volume74
Issue number1-2
DOIs
Publication statusPublished - Apr 2014

Keywords

  • Altitude measurement
  • Complementary filter
  • Data fusion
  • Kalman filter

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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