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Study on the Quadcopter for Person Search using PID Control and HSV

PID 제어 및 HSV를 활용한 인명 수색용 쿼드콥터에 관한 연구

  • 지민석 (남서울대학교 전자공학과) ;
  • 김병관 (남서울대학교 전자공학과) ;
  • 김준우 (남서울대학교 전자공학과) ;
  • 박내혁 (남서울대학교 전자공학과) ;
  • 박형근 (남서울대학교 전자공학과)
  • Received : 2021.10.25
  • Accepted : 2022.02.17
  • Published : 2022.02.28

Abstract

Mountain accidents such as forest fires and missing people are increasing as hikers increase due to indoor activities restrictions caused by the prolonged COVID-19 incident. If a dangerous situation occurs at outside where rescue workers cannot reach, the search time for person can be reduced using a quadcopter. Considering this, in this paper, Multiwii is used to smoothly hover the quadcopter by setting optimized PID values of the x-axis, y-axis, and z-axis (Yaw) according to the change in the inclination of the gas. In addition, after installing Open CV on Raspberry Pie, the camera uses HSV color space to filter the color such as the description of the person, and uses a thermal imaging camera to receive thermal sensing images in real time in environments where color extraction is difficult. As a result, it was confirmed that hovering was possible at a height of 2 to 8 m, blue extraction was possible at a height of 5 m, and heat detection was possible at a distance of less than 10 cm.

COVID-19 사태 장기화로 인한 실내활동 제약으로 등산객들이 증가함에 따라 산불화재, 실종자 등 산악 사고가 증가하고 있다. 구조요원의 손길이 닿지 않는 곳에 위험 상황이 발생한다면 쿼드콥터를 활용하여 인명 수색 시간을 감소할 수 있다. 이러한 점에 착안하여 본 논문에서는 쿼드콥터의 원활한 호버링을 수행 할 수 있도록 Multiwii를 사용하여 기체의 기울기 변화에 따라 x축(Roll), y축(Pitch), z축(Yaw)의 최적화된 PID 값을 설정하여 원활한 호버링을 할 수 있도록 하였다. 또한, 카메라는 라즈베리파이에 Open CV를 설치한 후 HSV 색공간을 사용하여 인상착의와 같은 색상을 필터링한 영상을 수신하고, 색추출이 어려운 환경에서는 열화상 카메라를 사용하여 열 감지 영상을 실시간으로 수신할 수 있도록 하였으며, 2~8m 높이에서 호버링이 가능하였으며 5m 높이에서 파란색 추출이 가능하였고, 10cm 이내의 거리에서 열 감지가 가능하였다.

Keywords

References

  1. C. Basdogan, Discrete PID Controller, Robotics Courses. Istanbul: Koc University Press, 2004.
  2. S. Bouabdallah, P. Murrieri, and R. Siegwart, "Towards Autonomous Indoor Micro VTOL," Autonomous Robots, vol. 18, no. 2, 2005, pp. 171-183. https://doi.org/10.1007/s10514-005-0724-z
  3. J. Choi, B. Kim, J. Yu, J. Choi, S. Lee, PID Controled UAV Monitoring System for Fire-Event Detection, Journal of the KIECS, vol. 15, no. 1, 2021, pp. 1-8.
  4. K. Nam, M. Jang., A Study on the Exploration Device of the Disaster Site Using Drones, Journal of the KIECS, vol. 14, no. 3, 2019, pp. 579-586.
  5. Y. Kim, J. Shin, S. Lee, H. Lee, H. Lim, K. Kim, and S. Lee, "Quad-rotor Attitude Stabilization by using PID Controller," J. of Aerospace System Engineering, vol. 4, no. 4, 2010, pp. 18-27.
  6. J. Oh, J. Seol, Y. Gong, S. Han, and S. Lee, "Drone Hovering Using PID Control," J. of the Korea Institute of Electronic Communication Sciences, vol. 13, no. 6, 2018, pp. 1269-1274. https://doi.org/10.13067/JKIECS.2018.13.6.1269
  7. D. Yoon, K. Lee, S. Han, and S. Lee, "A Study on Filght Stabilization of Drones by Gyro Sensor and PID Control," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 4, 2017, pp. 591-598. https://doi.org/10.13067/JKIECS.2017.12.4.591
  8. J. Choi, B. Kim, J. Yu, J. Choi, and S. Lee, "PID Controled UAV Monitoring System for Fire-Event Detection" J. of the Korea Institute of Electronic Communication Sciences, vol. 15 no. 1, 2020, pp. 1-8. https://doi.org/10.13067/JKIECS.2020.15.1.1
  9. Y. Kwon, " A Key-Frame Extraction Method based on HSV Color Model for Smart Vehicle Management System," J. of the Korea Institute of Electronic Communication Sciences, vol. 8, no. 4, 2013, pp. 595-604. https://doi.org/10.13067/JKIECS.2013.8.4.595
  10. D. Lim, Video Processing Using Open CV. Paju: Free Academy, 2014.
  11. C. Kim, Digital Image processing. Paju: Sangneung publisher, 2016.