• Title/Summary/Keyword: Quad Copter

Search Result 16, Processing Time 0.023 seconds

Portable-size Drone Design Using TRIZ Method (TRIZ 기법을 통한 휴대가 용이한 Drone 설계)

  • Kim, Jong Hyeong;Kim, Hyung-jik;Jung, Jae Nam;Jang, Dong-hee;Kwon, Hyuk-dong
    • Journal of the Korean Society of Manufacturing Technology Engineers
    • /
    • v.26 no.2
    • /
    • pp.230-237
    • /
    • 2017
  • Various drones have extended application area very fast. In this paper, we define two contradictions in designing a portable-size drone by using TRIZ technique. The first is a physical contradiction between high rigidity and good portability, and the second is a technical contradiction between high stability and good portability. Through TRIZ technique, six design principles, which guide direction for optimal design, were driven. Consequently, an umbrella mechanism and design criteria were proposed for a portable-size drone. Detail design is verified through finite element method. Test results for the portable-size prototype drone show good performance, and prove its usefulness to be equivalent to a general full-size drone.

Drone Hovering using PID Control (PID 제어를 이용한 드론의 호버링)

  • Oh, Ji-Wan;Seol, Jae-Won;Gong, Youn-Hee;Han, Seung-Jae;Lee, Seung-Dae
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.13 no.6
    • /
    • pp.1269-1274
    • /
    • 2018
  • In this paper, it covers technical aspect of drone by introducing the drone hovering. Arduino Uno and 3-axis attitude and azimuth sensor are the two main components of the drone. Arduino Uno is used as a main controller and 3-axis attitude and azimuth sensor are used to collect axial (X,Y,Z) data, which is massaged to determine the pitch (fore and aft tilt) and the bank (side to side tilt). Furthermore, drone stabilizes horizontal attitude by correcting these tilted angle through PID control.

Posture Stabilization Control of QuadCopter Using Sensor Fusion and Modified PID Control (진동에 강인한 센서 융합 필터와 개선된 PID 제어 방식을 이용한 쿼드콥터의 자세 제어)

  • Cho, Youngwan;Kim, Hyun-Soo
    • Journal of IKEEE
    • /
    • v.18 no.3
    • /
    • pp.376-382
    • /
    • 2014
  • In this paper, we propose a advanced attitude PID controller and sensor fusion method robust to the vibration of the quadcopter unmanned air vehicle using four BLDC motors. When the gyro sensor and acceleration sensor are fused, a complementary filter is designed to ignore the vibrations generated by the motors and to complement the drawbacks. As a result, we obtain accurate results than using each sensor. Also, it is possible to obtain a low delay results in robust to vibration than the low-pass filter or moving average filter, which is generally used for quadcopter. And we improved D controller, which have being used for attitude control of quadcopter, to quadcopter using gyro sensor. it was confirmed that the attitude is stabilized and error is reduced By using gyro sensor output instead of variation of estimated angle in D control.

Approximate Multi-Objective Optimization of a Quadcopter through Proportional-Integral-Derivative Control (PID 제어를 통한 쿼드콥터 다중목적 근사최적설계)

  • Yoon, Jaehyun;Lee, Jongsoo
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.39 no.7
    • /
    • pp.673-679
    • /
    • 2015
  • In this study, the nondominated sorting genetic algorithm (NSGA-II) is used to obtain the optimized proportional-integral-derivative (PID) gain value that can quickly recover the motion of a quadcopter after a disturbance. Prior to PID control, the four-rotor quadcopter interval was defined using computational fluid dynamics (CFD). Through the definition of this model, the PID control algorithm was generated. To construct a response surface model, D-optimal programming was used for the generation of experimental points. For this purpose, a gain value that satisfies both the roll and altitude PID gain values is obtained. Using the NSGA-II, the gain value of shorten time of the quadcopter motion control can be optimized.

A Study on Flight Stabilization of Drones by Gyro Sensor and PID Control (자이로 센서와 PID 제어를 이용한 드론 비행 안정화에 관한 연구)

  • Yoon, Dan-Bee;Lee, Kyu-Yeul;Han, Sang-Gi;Kim, Yong-Hun;Lee, Seung-Dae
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.12 no.4
    • /
    • pp.591-598
    • /
    • 2017
  • The changes of technology and the size of markets for unmaned aerial vehicle are getting bigger presently. Damage happens because of user's poor operation since accesses to the drones are easy. To minimize the damage, drone's stabilized flight skills are required, and controlling the motor to balanced speed is also needed. Thus, the essay shows that we use Arduino as a main control device for controlling a drone, and used acceleration sensor and gyro sensor for the drone stabilization. Also, we made it able to hover at a certain height by using a sonar sensor. We also controlled a drone by using an Android application, and made the drone hover stably at 0~2 meters.

PID control using 8-bit microcontroller (8비트 마이크로컨트롤러를 사용한 PID 제어)

  • Lee, Donghee;Moon, Sangook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2016.05a
    • /
    • pp.407-408
    • /
    • 2016
  • A drone has been popularized to such an extent as to be seen in the near parks recently. The drone refers to an unmanned aerial vehicle(UVA) which can fly and be steered by a radio wave without a pilot and it has a airplane or helicopter shape. The drone was first started to be used from military purpose, but its usage has been expanded to the private such as broadcast shooting, crop-dusting, field discovery and hobby. However the drone that we can see often in the market is expansive, hard to be repaired when it broken down and has a discomfort of the short flight time. In this paper, to solve an uncomfortable talk on the cheap ATmega128 Using (Quad copter) drone for implementation. Axes gyroscope and accelerometers mcu between posture an attitude control, communications through drone control, pid. Receiver input them into transmitter signals of movements to control drone c the programming was implemented in on the basis of language.

  • PDF