Histogram of oriented gradients as feedback on proportional navigation (PN) control and proportional-integral-derivative (PID) control on quadcopter platforms

A. Faza, S. Darma

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

Abstract

Indonesia is located in Mediterranean Basin, Pacific Basin and flanked by 3 large plates i.e. Indo-Australian, Eurasian, and Pacific Plate. Therefore, Indonesia has many volcanic mountains and prone of natural disaster such as earthquake, tsunami, and volcanic earthquake. Usually after disaster happened, SAR (Search and Rescue) team would be deployed to search victims, and mapping disaster's area quickly, however the assignment, especially after the disaster happened is very dangerous and high risk. Hence, SAR needs a high tech device to help that situation and minimize the risk. Here, we would like to propose Quadcopter as victim's finder and area mapper as the solution to minimize the risk. A High speed and accurate response quadcopter is needed to conduct those things. Object detector mechanism must be installed to the Quadcopter in order to give signal for quadcopter to be able moving closer to the victims and to prevent from colliding objects during area mapping. The object detection is using image processing method, Histogram of Oriented Gradient (HoG). Proportional Navigation (PN) and Proportional-Integral-Derivative (PID) control system are used as quadcopter's control system and both working simultaneously to control the movement of the quadcopter. Proportional Navigation (PN) will be used as default control system when the victim's position is at long-distance. PN is also used to make quadcopter to move more aggressive with maximum acceleration. As the distance closer enough to the victims, the control system will be automatically switch to Proportional-Integral-Derivative (PID) Control System. PID is used at close distance because the flexibility and consistency of response in dynamic movement. The system achieves control quadcopter to approaching an object (i.e. human). At distance to object quite far (i.e. more than 3 meters), the PN controls successfully control the quadcopter into closer distance (i.e. less than 3 meters), then PID controls works.

Original languageEnglish
Title of host publicationProceedings of the 4th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2018
EditorsTerry Mart, Djoko Triyono, Ivandini T. Anggraningrum
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735419155
DOIs
Publication statusPublished - 4 Nov 2019
Event4th International Symposium on Current Progress in Mathematics and Sciences 2018, ISCPMS 2018 - Depok, Indonesia
Duration: 30 Oct 201831 Oct 2018

Publication series

NameAIP Conference Proceedings
Volume2168
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference4th International Symposium on Current Progress in Mathematics and Sciences 2018, ISCPMS 2018
Country/TerritoryIndonesia
CityDepok
Period30/10/1831/10/18

Keywords

  • HoG
  • PID Control
  • Proportional Navigation Control
  • Quadcopter control
  • SAR Drone

Fingerprint

Dive into the research topics of 'Histogram of oriented gradients as feedback on proportional navigation (PN) control and proportional-integral-derivative (PID) control on quadcopter platforms'. Together they form a unique fingerprint.

Cite this