• 제목/요약/키워드: command velocity

검색결과 109건 처리시간 0.028초

속도 명령 기반 PID 제어기를 이용한 멀티로터 무인항공기의 표적 자동 추종 시스템 구현 (Implementation of Automatic Target Tracking System for Multirotor UAVs Using Velocity Command Based PID controller)

  • 정현도;고선재;최병조
    • 대한임베디드공학회논문지
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    • 제13권6호
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    • pp.321-328
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    • 2018
  • This paper presents an automatic target tracking flight system using a PID controller based on velocity command of a multirotor UAV. The automatic flight system includes marker based onboard target detection and an automatic velocity command generation replacing manual controller. A quad-rotor UAV is equipped with a camera and an image processing computer to detect the marker in real time and to estimate the relative distance from the target. The marker tracking system consists of PID controller and generates velocity command based on the relative distance. The generated velocity command is used as the input of the UAV's original flight controller. The operation of the proposed system was verified through actual flight tests using a marker on top of a moving vehicle and tracks it to successfully demonstrate its capability using a quad-rotor UAV.

조이스틱 명령에 따른 Electro-Optical Targeting Pod의 LOS 이동 알고리즘 설계 (LOS Moving Algorithm Design of Electro-Optical Targeting Pod for Joystick Command)

  • 서형규;박재영;안정훈
    • 전기학회논문지
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    • 제67권10호
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    • pp.1395-1400
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    • 2018
  • EO TGP(Electro-Optical Targeting Pod) is an optical tracking system which has various functions such as target tracking and image stabilization and LOS(Line of Sight) change. Especially, it is very important to move the LOS into a interest point for joystick command. When pilot move joystick in order to observe different scene, EO TGP gimbals should be operated properly. Generally, most EOTS just operate corresponding gimbal for joystick command. For example, if pilot input horizontal command in order to observe right hand screen, it just drive azimuth gimbal at any position. But in the screen, the image dosen't move in a horizontal direction because gimbal structure is Euler angle. And image rotation is occurred by elevation gimbal angle. So we need to move Pitch gimbal. So in the paper, we designed LOS moving algorithm which convert LOS command to gimbal velocity command to move LOS properly. We modeled a differential kinematic equation and then change the joystick command into velocity command of gimbals. This algorithm generate velocity command of each gimbal for same horizontal direction command. Finally, we verified performance through MATLAB/Simulink.

신경망을 이용한 ROBOT ARM의 디버링(Deburring) 작업에 관한 연구 (A study on deburring task of robot arm using neural network)

  • 주진화;이경문;이장명
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.139-142
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    • 1996
  • This paper presents a method of controlling contact force for deburring tasks. The cope with the nonlinearities and time-varying properties of the robot and the environment, a neural network control theory is applied to design the contact force control system. We show that the contact force between the hand and the contacting surface can be controlled by adjusting the command velocity of a robot hand, which is accomplished by the modeling of a robot and the environment as Mass-Spring-Damper system. Simulation results are shown.

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4족 보행로봇의 원격조종을 위한 주기 걸음새 기반의 비주기적 걸음새 제어 (Aperiodic Gait Control based on Periodic Gait fo Teleoperation of a Quadruped Walking Robot)

  • 최명호;권동수
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.397-397
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    • 2000
  • This paper presents a gait control scheme for teleoperation of a quadruped-walking robot. In teleoperation of a walking robot, an operator gives a real-time generated velocity command to a walking robot instead of a moving trajectory. When the direction of the velocity command is changed, the periodic gait is not available because this requires an initial foot position . This paper proposes the aperiodic gait control scheme that can converge to a periodic gait Simulation results are given to demonstrate the efficiency of the proposed control scheme.

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적분 제어기 정보를 이용한 비선형 마찰보상 (Nonlinear Friction Compensation using the Information of Integral Controller)

  • 송진일;최용훈;유지환;권동수
    • 한국정밀공학회지
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    • 제17권1호
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    • pp.110-119
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    • 2000
  • This paper presents simple and effective nonlinear friction compensation methods. When the direction of position command reverses, the integrator output of the PID controller does not change the sign of its output instantaneously, due to friction at zero velocity, i.e. stiction resulting tracking errors, that results in continuous push even though the command direction has been changed. To overcome this problem, we attempt to reverse the sign of the integrator output as the sign of velocity changes. The effectiveness of this approach is demonstrated by experiments on a 3-PRPS (Prismatic-Revolute-Prismatic-Shperical joints) in-parallel 6-D.O.F manipulator. The control strategy has been analyzed for stability. Also discussed are disturbance observer and velocity observer approaches for friction compensation.

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가상환경을 위한 효율적인 힘방향 알고리즘의 개발 (Development of an Efficient Force Reflection Algorithm for a Virtual Environment)

  • 권혁조;김기호;오재윤
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2000년도 추계학술대회 논문집
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    • pp.60-63
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    • 2000
  • In this study, efficient force reflection algorithm is developed for the Haptic Display by using a proxy concept and friction model. When there are not any contacted obstacles the proxy is following human operator's command trajectory in the 3D virtual space. But when the operator's command trajectory is locating inside of the object, the proxy is constrained by the surface of the object. Here only with the information of the proxy position and operator's command trajectory at every time step, we can calculate the reflection force and its orientation. To display the friction force between two virtual stiff material which are sliding against each other, modified Karnopp's friction model is used. In the friction model, a damping term and a Stribeck effect term are included to display the relative velocity effect and stick-slip effect at the very low relative velocity region respectively.

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경사 감소 학습에 기초한 적응 PID 제어기 설계 (An Adaptive PID Controller Design based on a Gradient Descent Learning)

  • 박진현;김현덕;최영규
    • 한국정보통신학회논문지
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    • 제10권2호
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    • pp.276-282
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    • 2006
  • 본 연구에서는 구조가 단순한 PID 제어기의 장점을 살리고, 시스템 파라메터의 변동에 대하여 강인성 성능을 내는 온라인 적응 PID 제어 시스템을 개발하고자 한다. 또한, 제안된 적응 제어 시스템의 초기 제어 구간에서 안정한 스타트-엎(start-up)을 보장하기 위하여 초기 제어기의 이득을 적절한 이득으로 설정하고, 그 이득의 변화량을 경사 감소법에 의하여 학습하는 방법으로 수정 제안하고자 한다. 제안된 적응 PID제어기의 성능 평가를 위하여 비선형 DC 모터의 가변 속도제어에 적용하고, 결과를 모의실험을 통하여 보이고자한다.

선독 알고리즘에 의한 고속 가공 소프트웨어 구현 (The Implement of a high Speed Machining Software by Look-ahead Algorithm)

  • 이철수
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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    • pp.252-257
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    • 2000
  • This paper describes a look-ahead algorithm of PCNC(personal computer numerical control). The algorithm is based on acceleration/deceleration before interpolation never including a command error and determines a velocity value in end point of each block(or start point of each block). The algorithm is represented as following; 1) calculating two maximum arrival velocity(v1, v2) by a acceleration value, a command velocity and distance in a previous block and a next block, 2) getting a tangent velocity(v3) of the adjacent blocks, 3) choosing a minimum value among these three velocities, and 4) setting the value to a velocity of a start point of the next block(or a end point of the previous block). The proposed look-ahead algorithm was implemented and tested by using a commercial RTOS(real time operation system) on the MS-Windows NT 4.0 in a PC platform. For interfacing to a machine, a counter board, a DAC board and a DIO board were used. The result of the algorithm increased a machining precision and a machining speed in many short blocks.

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임베디드 보드 기반의 교육용 차동 구동 로봇 플랫폼 개발 (Development of Embedded Board-based Differential Driving Robot Platform for Education)

  • 최현주;이동현
    • 대한임베디드공학회논문지
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    • 제17권2호
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    • pp.123-128
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    • 2022
  • This paper proposes a mobile robot platform for education that can experiment with various autonomous driving algorithms such as obstacle avoidance and path planning. The platform consists of a robot module and a remote controller module, both of which are based on the Arduino Nano 33 IoT embedded board. The robot module is designed as a differential drive type using two encoder motors, and the speed of the motor is controlled using PID control. In the case of the remote controller module, a command to control the robot platform is received with a 2-axis joystick input, and an elliptical grid mapping technique is used to convert the joystick input into a linear and angular velocity command of the robot. WiFi and Zigbee are used for communication between the robot module and the remote controller module. The proposed robot platform was tested by measuring and comparing the linear velocity and angular velocity of the actual robot according to the linear velocity and angular velocity commands of the robot generated by the input of the joystick.