• 제목/요약/키워드: balancing robot

검색결과 153건 처리시간 0.02초

이족 보행로봇의 균형추 형태에 따른 안정성 해석 (A Stability Analysis of a Biped Walking Robot about Balancing Weight)

  • 노경곤;김진걸
    • 한국정밀공학회지
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    • 제22권1호
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    • pp.89-96
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    • 2005
  • This paper is concerned with a balancing motion formulation and control of the ZMP (Zero Moment Point) for a biped-walking robot that has a prismatic balancing weight or a revolute balancing weight. The dynamic stability equation of a walking robot which have a prismatic balancing weight is conditionally linear but a walking robot's stability equation with a revolute balancing weight is nonlinear. For a stable gait, stabilization equations of a biped-walking robot are modeled as non-homogeneous second order differential equations for each balancing weight type, and a trajectory of balancing weight can be directly calculated with the FDM (Finite Difference Method) solution of the linearized differential equation. In this paper, the 3dimensional graphic simulator is developed to get and calculate the desired ZMP and the actual ZMP. The operating program is developed for a real biped-walking robot IWRⅢ. Walking of 4 steps will be simulated and experimented with a real biped-walking robot. This balancing system will be applied to a biped humanoid robot, which consist legs and upper body, as a future work.

밸런싱 로봇 제어 (A Control of Balancing Robot)

  • 민형기;김지훈;윤주한;정은태;권성하
    • 제어로봇시스템학회논문지
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    • 제16권12호
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    • pp.1201-1207
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    • 2010
  • This paper shows to stabilize a balancing robot. We derive the dynamics of a balancing robot and design its controller using LQR method. For stabilizing balancing robot, we introduce a method to detect an angle using inertial sensors. In this study, we use a complementary filter to fuse signals by frequency response of gyroscope and accelerometer in order to measure the inclined angle of balancing robot. The filter coefficients are obtained by least square to minimize error in angle-detecting filter design. And then, after we derive a dynamics of balancing robot using Lagrange method, we linearize that dynamics for using LQR method.

이륜 구동 로봇의 균형 각도 조절을 통한 사람과의 상호 제어의 실험적 연구 (Experimental Studies of Balancing Control of a Two-wheel Mobile Robot for Human Interaction by Angle Modification)

  • 이승준;정슬
    • 로봇학회논문지
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    • 제8권2호
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    • pp.67-74
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    • 2013
  • This paper presents interaction force control between a balancing robot and a human operator. The balancing robot has two wheels to generate movements on the plane. Since the balancing robot is based on position control, the robot tries to maintain a desired angle to be zero when an external force is applied. This leads to the instability of the system. Thus a hybrid force control method is employed to react the external force from the operator to guide the balancing robot to the desired position by a human operator. Therefore, when an operator applies a force to the robot, desired balancing angles should be modified to maintain stable balance. To maintain stable balance under an external force, suitable desired balancing angles are determined along with force magnitudes applied by the operator through experimental studies. Experimental studies confirm the functionality of the proposed method.

지능 알고리즘 기반의 이족 보행로봇의 보행 구현 (A Gait Implementation of a Biped Robot Based on Intelligent Algorithm)

  • 강찬수;김진걸;노경곤
    • 제어로봇시스템학회논문지
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    • 제10권12호
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    • pp.1210-1216
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    • 2004
  • This paper deals with a human-like gait generation of a biped robot with a balancing weight of an inverted pendulum type by using genetic algorithm. The ZMP (Zero Moment Point) is the most important index in a biped robot's dynamic walking stability. To perform a stable walking of a biped robot, a balancing motion is required according to legs' trajectories and a desired ZMP trajectory. A dynamic equation of the balancing motion is nonlinear due to an inverted pendulum type's balancing weight. To solve the nonlinear equation by the FDM (Finite Difference Method), a linearized model of equation is proposed. And GA (Genetic Algorithm) is applied to optimize a human-like balancing motion of a biped robot. By genetic algorithm, the index of the balancing motion is efficiently optimized, and a dynamic walking stability is verified by the ZMP verification equation. These balancing motion are simulated and experimented with a real biped robot IWR-IV. This human-like gait generation will be applied to a humanoid robot, at future work.

이족 보행로봇의 3차원 모의실험기 개발 (Development of 3-Dimensional Simulator for a Biped Robot)

  • 노경곤;김진걸;허욱열
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 D
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    • pp.2438-2440
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    • 2004
  • This study is concerned with development of 3-Dimensional simulator of a biped robot that has a prismatic balancing weight or a revolute balancing weight. The dynamic stability equation of a biped robot which have a prismatic balancing weight is conditional linear but a walking robot's stability equation with a revolute balancing weight is nonlinear. To get a stable gait of a biped robot, stabilization equations with ZMP (Zero Moment Point) are modeled as non-homogeneous second order differential equations for each balancing weight type. A trajectory of balancing weight can be directly calculated with the FDM (Finite Difference Method) solution of the linearized differential equation. In this paper, the 3-Dimensional graphic simulator is programmed to get and calculate the desired ZMP and the actual ZMP. Walking of 4 steps was simulated and verified. This balancing system will be applied to a biped humanoid robot, which consist Begs and upper body, at future work.

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덕티드 팬을 이용한 외바퀴 자전거로봇의 균형 제어 (Balancing Control of a Unicycle Robot using Ducted Fans)

  • 이종현;신혜정;정슬
    • 제어로봇시스템학회논문지
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    • 제20권9호
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    • pp.895-899
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    • 2014
  • This paper presents the balancing control of a unicycle robot using air power. Since the robot has one wheel to move forward and backward, the balancing control is quite challenging. To control the balancing angle, the accurate angle estimation by a tilt and a gyro sensor is required a priori. A complementary filter is implemented to eliminate the defects of two sensors and to fuse together to estimate an accurate balancing angle. The optimal design of air ducts is found empirically. Experimental studies of the balancing control of a unicycle robot confirm that the robot is well regulated without falling down.

이륜구동 이동로봇의 균형을 위한 뉴로 퍼지 제어 (Neuro-fuzzy Control for Balancing a Two-wheel Mobile Robot)

  • 박영준;정슬
    • 제어로봇시스템학회논문지
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    • 제22권1호
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    • pp.40-45
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    • 2016
  • This paper presents the neuro-fuzzy control method for balancing a two-wheel mobile robot. A two-wheel mobile robot is built for the experimental studies. On-line learning algorithm based on the back-propagation(BP) method is derived for the Takagi-Sugeno(T-S) neuro-fuzzy controller. The modified error is proposed to learn the B-P algorithm for the balancing control of a two-wheel mobile robot. The T-S controller is implemented on a DSP chip. Experimental studies of the balancing control performance are conducted. Balancing control performances with disturbance are also conducted and results are evaluated.

균형점 정형화를 이용한 이족보행로봇 제어 (Control of a Biped Walking Robot using ZMP Formulation)

  • 임선호;김진걸
    • 대한전기학회논문지:전력기술부문A
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    • 제48권8호
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    • pp.1022-1030
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    • 1999
  • This paper is concerned with the balancing motion formulation and the control of ZMP (zero moment point) for a biped walking robot with balancing joints. The balancing equation of a biped robot can be modeled as the second order non-homogeneous differential equation, which makes it possible to plan the desired trajectories for various gaits or motions. Also, the balancing motion can be defined easily by solving the differential equation without pre-processing or heuristic procedures. The actual experiments are performed on biped walking robot system IWR-III, developed in our Automatic Control Lab. The system has the structure of three pitches in each leg, and one roll and one prismatic type in balancing joints. The walking simulations and the experimental results on IWR-III are shown using the proposed formula and control algorithm.

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이동로봇을 중심으로 LEGO MINDSTORM을 응용한 로봇공학 교육용 실습 로봇개발 (Development of Experimental Mobile Robots for Robotics Engineering Education by Using LEGO MINDSTORM)

  • 박준형;정슬
    • 로봇학회논문지
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    • 제7권2호
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    • pp.57-64
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    • 2012
  • This paper introduces several mobile robots developed by using LEGO MIDSTORM for experimental studies of robotics engineering education. The first mobile robot is the line tracer robot that tracks a line, which is a prototype of wheel-driven mobile robots. Ultra violet sensors are used to detect and follow the line. The second robot system is a two-wheel balancing robot that is somewhat nonlinear and complex. For the robot to balance, a gyro sensor is used to detect a balancing angle and PD control is used. The last robot system is a combined system of a line tracer and a two-wheel balancing robot. Sensor filtering and control algorithms are tested through experimental studies.

각도 오프셋의 퍼지보상을 통한 외바퀴 이동 로봇의 균형제어 (Balancing Control of a Single-wheel Mobile Robot by Compensation of a Fuzzified Balancing Angle)

  • 하민수;정슬
    • 한국지능시스템학회논문지
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    • 제25권1호
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    • pp.1-6
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    • 2015
  • 본 논문에서는 한 바퀴 이동로봇의 균형제어를 위해 퍼지방법을 사용하였다. PD제어를 사용하여 균형을 유지하는 한 바퀴 로봇은 시간이 지남에 따라 플라이휠이 한 방향으로 기울어지게 되고 결국에는 균형이 무너지는 현상이 발생한다. 선행연구에서는 이를 해결하기 위해 게인 스케줄링 방법을 사용하였다. 본 논문에서는 퍼지방법을 사용하여 균형 각도를 보상하므로 균형 제어 성능을 높이고자 하였다. 퍼지제어를 통해 desired offset의 각도를 보상하므로 김벌이 한쪽으로 흘러 넘어지는 현상을 보완하였다. 한 바퀴 구동 이동로봇의 균형제어 실험을 통하여 제안하는 제어방식의 성능을 검증하였다.