• 제목/요약/키워드: Robot Tracking

검색결과 1,013건 처리시간 0.031초

적응제어 기법을 이용한 필드 로봇의 궤적 추종에 관한 연구 (A Study on Trajectory Tracking of Field Robot using Adpative Control)

  • 서우석;김승수;양순용;이병룡;안경관
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 추계학술대회 논문집
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    • pp.496-499
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    • 1997
  • Field robot represented by excavator can be applied for various kinds of working in manufacturing, construction, agriculture etc. because of the flexibility of its multi-joint mechanism and the high power of hydraulic actuators. In general, the dynamics of field robot have strong coupling, various kinds of non-linearity, and time-varying parameters according to working conditions. Therefore, it is very difficult to describe the system well, and design controller systematically based on its model. This paper established the mathematical model of field robot driven by electro-hydraulic servomechanism and constructed the adaptive control system robust to external load variations. The proposed control system for the field robot was evaluated by the computer simulation and the performance results of trajectory tracking were compared with that of PID control system.

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전동휠체어 로봇의 경로추적제어에 관한 연구 (A Study on the Path-Tracking of Electric Wheelchair Robot)

  • 안경관;윤종일;레듀이코아
    • 한국정밀공학회지
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    • 제28권11호
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    • pp.1265-1271
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    • 2011
  • These days the number of aged and disabled people is increasing rapidly. But most of the disabled or the aged who have the ability to work, want to engage in economic activities and solve social restrictions as well as their bad financial conditions. This paper concerns about the tracking control of an electric wheelchair robot for welfare vehicle where the seat and electric wheelchair are separated and electric wheelchair robot must be autonomously controlled without the help of assistant. So the aged or the disabled people can drive welfare vehicle by himself by adopting this system. Therefore the concept of both an autonomous driving of electric wheelchair and path tracking robots is required in this system. Finally we suggested fuzzy controller in order to control the path tracking of electric wheelchair robot and compared the capability of the proposed controller with conventional PID controller.

인공 고무 근욱을 이용한 로부트 매니퓨레이터의 궤도 추적 제어 (Trajectory Tracking Control for a Robot Manipulator with Artificial Muscles)

  • Jin, Sang-Ho
    • 대한전기학회논문지
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    • 제43권3호
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    • pp.485-492
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    • 1994
  • Trajectory tracking control porblems are described for a two-link robot manipulator with artificial rubber muscle actuators. Under the assumption that the so-called independent joint control is applied to the control system, the dynamic model for each link is identified as a linear second-order system with time-lag by the step response. Two control laws such as the feedforward and the computed torque control methods, are experimentally applied for controlling the circular trajectory of an actual robot mainpulator.

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제네틱 알고리즘을 이용한 이동로봇의 지능제어기 설계 (Design of an Intelligent Controller of Mobile Robot Using Genetic Algorithm)

  • 정동연;김종수;한성현
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2003년도 추계학술대회
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    • pp.207-212
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    • 2003
  • This paper proposed trajectory tracking control of Mobile Robot. Trajectory tracking control scheme are Real coding Genetic-Algorithm and Back-propergation Algorithm. Control scheme ability experience proposed simulation.

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유전자 알고리즘을 이용한 이동로봇의 지능제어 (Intelligent Controller of Mobile Robot Using Genetic Algorithm)

  • 정동연;김홍래;한성현
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2004년도 추계학술대회 논문집
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    • pp.181-186
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    • 2004
  • This paper proposed trajectory tracking control of Mobile Robot. Trajectory tracking control scheme are Real coding Genetic-Algorithm and Back-propergation Algorithm. Control scheme ability experience proposed simulation.

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불확실성을 가지는 전기 구동 논홀로노믹 이동 로봇의 궤적 추종을 위한 강인 적응 퍼지 백스테핑 제어 (Robust Adaptive Fuzzy Backstepping Control for Trajectory Tracking of an Electrically Driven Nonholonomic Mobile Robot with Uncertainties)

  • 신진호
    • 제어로봇시스템학회논문지
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    • 제18권10호
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    • pp.902-911
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    • 2012
  • This paper proposes a robust adaptive fuzzy backstepping control scheme for trajectory tracking of an electrically driven nonholonomic mobile robot with uncertainties and actuator dynamics. A complete model of an electrically driven nonholonomic mobile robot described in this work includes all models of the uncertain robot kinematics with a nonholonomic constraint, the uncertain robot body dynamics with uncertain frictions and unmodeled disturbances, and the uncertain actuator dynamics with disturbances. The proposed control scheme uses the backstepping control approach through a kinematic controller and a robust adaptive fuzzy velocity tracking controller. The presented control scheme has a voltage control input with an auxiliary current control input rather than a torque control input. It has two FBFNs(Fuzzy Basis Function Networks) to approximate two unknown nonlinear robot dynamic functions and a robust adaptive control input with the proposed adaptive laws to overcome the uncertainties such as parameter uncertainties and external disturbances. The proposed control scheme does not a priori require the accurate knowledge of all parameters in the robot kinematics, robot dynamics and actuator dynamics. It can also alleviate the chattering of the control input. Using the Lyapunov stability theory, the stability of the closed-loop robot control system is guaranteed. Simulation results show the validity and robustness of the proposed control scheme.

산업용 로봇 매니퓰레이터의 다변수 제어기 설계 (A Design on Multivariable Controller for Industrial Robot Manipulators)

  • 한상완;홍석교
    • 제어로봇시스템학회논문지
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    • 제4권5호
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    • pp.636-643
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    • 1998
  • This paper is presents multivariable control scheme for industrial robot manipulators. The control scheme consists of two loops. The modeling error between linearized robot model and actual robot model is compensated in error compensation loop. The PID control loop is designed for pole assignment to stability of robot system and utilized for trajectory tracking. Alternatively computer simulation results are given for illustration purpose of suggested controller.

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비젼시스템을 이용한 이동로봇의 이동물체 추적에 관한 연구 (A Study of the tracking of moving object of mobile robot using vision system)

  • 전재현;홍석교
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 G
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    • pp.3083-3085
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    • 1999
  • This paper presents an algorithm that the mobile robot track accurately a moving object with information from a CCD camera mounted on mobile robot. Singular Value Decomposition is adapted to remove the measurement noise of a Raw data of CCD. The mobile robot estimate the trajectory using Kalman filter and track the path of a moving object with a servo motor. Computer simulation results are showed that the efficient tracking system for the mobile robot is designed properly.

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미정보 환경 하에서 신경회로망 힘추종 로봇 제어 기술의 실험적 연구 (Experimental Studies on Neural Network Force Tracking Control Technique for Robot under Unknown Environment)

  • 정슬;임선빈
    • 제어로봇시스템학회논문지
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    • 제8권4호
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    • pp.338-344
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    • 2002
  • In this paper, neural network force tracking control is proposed. The conventional impedance function is reformulated to have direct farce tracking capability. Neural network is used to compensate for all the uncertainties such as unknown robot dynamics, unknown environment stiffness, and unknown environment position. On line training signal of farce error for neural network is formulated. A large x-y table is built as a test-bed and neural network loaming algorithm is implemented on a DSP board mounted in a PC. Experimental studies of farce tracking on unknown environment for x-y table robot are presented to confirm the performance of the proposed technique.

컨베이어 추적을 위한 로보트 매니퓰레이터의 계층적 제어구조 (A hierachical control structure of a robot manipulator for conveyor tracking)

  • 박태형;이영대;이범희;고명삼
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.1046-1051
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    • 1991
  • For the conveyor tracking application of a robot manipulator, a new control scheme is presented. The presented scheme is divided into two stages : the upper one is the motion planning stage and the lower one is the motion control stage. In the upper stage, the nominal trajectory which tracks the part moving in a constant velocity, is planned considering the robot arm dynamics. On the other hand, in the lower level, the perturbed trajectory is generated to track the variation in the velocity of conveyor belt via sensory feedback and the perturbed arm dynamics. In both stages, the conveyor tracking problem is formulated as an optimal tracking problem, and the torque constraints of a robot manipulator are taken into account. Simulation results are then presented and discussed.

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