• Title/Summary/Keyword: Point-position control

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A Novel Cogging Torque Reduction Method for Single-Phase Brushless DC Motor

  • Park, Young-Un;Cho, Ju-Hee;Rhyu, Se-Hyun;Kim, Dae-Kyong
    • Journal of Magnetics
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    • v.18 no.2
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    • pp.117-124
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    • 2013
  • Single-phase, brushless DC (BLDC) motors have unequal air-gaps to eliminate the dead-point where the developed torque is zero. Unfortunately, these unequal air-gaps can deteriorate the motor characteristics in the cogging torque. This paper proposes a novel design for a single-phase BLDC motor with an asymmetric notch to solve this problem. In the design method, the asymmetric notches were placed on the stator pole face, which affects the change in permanent magnet shape or the residual flux density of the permanent magnet. Parametric analysis was performed to determine the optimal size and position of the asymmetric notch to reduce the cogging torque. Finite element analysis (FEA) was used to calculate the cogging torque. A more than 28% lower cogging torque compared to the initial model with no notch was achieved.

Developing Head/Eye Tracking System and Sync Verification (헤드/아이 통합 트랙커 개발 및 통합 성능 검증)

  • Kim, Jeong-Ho;Lee, Dae-Woo;Heo, Se-Jong;Park, Chan-Gook;Baek, Kwang-Yul;Bang, Hyo-Choong
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.1
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    • pp.90-95
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    • 2010
  • This paper describes the development of integrated head and eye tracker system. Vision based head tracker is performed and it has 7mm error in 300mm translation. The epi-polar method and point matching are used for determining a position of head and rotational degree. High brightness LEDs are installed on helmet and the installed pattern is very important to match the points of stereo system. Eye tracker also uses LED for constant illumination. A Position of gazed object(3m distance) is determined by pupil tracking and eye tracker has 1~5 pixel error. Integration of result data of each tracking system is important. RS-232C communication is applied to integrated system and triggering signal is used for synchronization.

A Stability Study on Visual Servoing using Dynamic Calibration (동적 보정을 이용한 비주얼 서보잉에서 안정성에 관한 연구)

  • 김진대;조영식;이상화;이재원
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.10
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    • pp.82-88
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    • 2003
  • Many visual servoing algorithms have been recently developed by the robot vision researchers. They do not, however, consider the stability of servoing system. The camera calibration is the most important factor to the control stability and performance of position based visual servoing. In this article we describe the ECL(End Point Closed Loop) servoing can make no steady state error for the control of 6-DOF robot of which accuracy is dependent on the camera calibration and kinematics. And we propose a dynamic calibration algorithm, which can improve stability and performance of ECL visual servoing. To verify the potential of our approach, we run assembly experiments and present our finding.

Robust Synchronous Control of a Two-Axes Driving System using Coupling Structure (커플링구조를 이용한 2축 구동시스템의 강인한 위치동기제어)

    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.248-252
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    • 2002
  • In this study, a synchronous controller which can be applied to two-axes position synchronization has been developed. The synchronous control system based on coupling structure has been composed of speed and synchronous controller. The speed controller has been designed to fellow speed reference. And the synchronous controller has been designed in the view point of accurate synchronization and robust stability by $H_{\infty}$ approach. The effectiveness of the designed synchronous controller has been demonstrated by experiment.

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A Way-Point Tracking of Hovering AUV by PID control (PID 제어기를 이용한 호버링 AUV의 경유점 추적)

  • Kim, Min J.;Bae, Seol B.;Baek, Woon-Kyung;Joo, Moon G.;Ha, Kyoung Nam
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.4
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    • pp.257-264
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    • 2015
  • For the tracking of the way-points of hovering AUV (HAUV), we suggest a simple PID controller. The way-points are designed to approach to a virtual underwater structure and the heading angles at each way-point are set to look at the structure in the face. The proposed controller consists of a vertical controller to maintain the depth and pitch angle, and a horizontal controller to move to the desired position as well as to adjust the heading angle of the HAUV. In the simulation using Matlab/Simulink, the HAUV with the proposed PID controller is shown to track all the way-points within 1 m range while maintaining proper heading angle at each way-point.

The End-Point Position Control of a Translational Flexible Arm by Inverse Dynamics (역동역학에 의한 병진운동 탄성 Arm 선단의 위치제어)

  • Lee, Seong-Cheol;Bang, Du-Yeol;S. Chonan;H. Inooka
    • Journal of the Korean Society for Precision Engineering
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    • v.9 no.4
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    • pp.136-146
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    • 1992
  • This paper provides the end-point positioning of a single-link flexible robot arm by inverse dynamics. The system is composed of a flexible arm, the mobile ballscrew stage as an arm base, a DC servomotor as an actuator, and a computer. Actuator voltages required for the model of a flexible arm to follow a given tip trajectory are formulated on the basis of the Bermoullie-Euler beam theory and solved by applying the Laplace transform method, and computed by the numerical inversion method proposed by Weeks. The mobile stage as the arm base is shifted so that the end-point follows the desired trajectories. Then the trajectory of end-point is measured by the laser displacement sensor. Here, two kinds of functions are chosen for the given tip trajectories. One is what is called the bang-bang acceleration profile and the other is the Gaussian velocity profile.

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Motion Control of Two Welding Mobile Robot with Seam Tracking Sensor

  • Byuong-Oh;Jeon, Yang-Bae;Suh, Jin-Ho;Oh, Myung-Suk;Kim, Sang-bong
    • International Journal of Precision Engineering and Manufacturing
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    • v.4 no.2
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    • pp.30-38
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    • 2003
  • This paper proposed PID controller for torch slider and PD controller for motor right wheel. to control the motion of two-wheeled welding mobile robot with seam tracking sensor touched on welding line. The motion control is realized in the view of keeping constant welding velocity and precise seam tracking even though the target welding line is on straight line or curved line. The position and direction of the body of the mottle robot are controlled by using signal errors between seam tracking sensor and body positioning sensor attached on the end of torch slider and body side of the mobile robot, respectively. In turning motion, the body and the torch slider are controlled by using the kinematic model related with two motions of body turning and torch sliding. The straight locomotion is controlled according to eleven control patterns obtained from displacements between two sensors of the seam tracking sensor and the body positioning sensor. The effectiveness is proven through the experimental results fur lattice type welding line. Through the experimental results, we can see that the position value of the electrode end point and the welding velocity are controlled almost constantly both in straight and turning locomotion.

A Study on Dynamic Walking Control of Biped Robot (이족 보행로봇의 동적 보행 제어에 관한 연구)

  • Shim, Byoung-Kyun;Jeong, Yang-Keun;Shim, Hyun-Seok;Lee, Woo-Song
    • Journal of the Korean Society of Industry Convergence
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    • v.17 no.4
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    • pp.245-254
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    • 2014
  • In this paper, stable and robust dynamic walking for a biped motion is proposed. To success this objective, the following structures are processed. In this paper, the proposed control method is one that adjusts actual zero moment position to move to the closest possible point in the stable area instead of following desired zero moment position. This minimizes energy consumption with the smallest joint movements. The proposed control method makes mechanical energy that drives lower limb of the bipedal robot efficient. In this paper, walking experiment is carried out with the three control structures mentioned above. The trajectory generated by off-line is illustrated by performing to walking on flat ground. experiment with an obstacle whose height is lower than that of trajectory is executed to validate dynamic motion.

Construction of the position control system by a Neural network 2-DOF PID controller (신경망 2자유도 PID저어기에 의한 위치제어시스템 구성)

  • 이정민;허진영;하홍곤;고태언
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.05a
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    • pp.378-385
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    • 2000
  • In this paper, we consider to apply of 2-DOF (Degree of Freedom) PID controller at D.C servo motor system. Many control system use I-PD , PID control system. but the position control system have difficulty in controling variable load and changing parameter. We propose neural network 2-DOF PID control system having feature for removal disturbrances and tracking function in the target value point. The back propagation algorithm of neural network used for tuning the 2-DOF parameter(${\alpha}$,${\beta}$,${\gamma}$,η). We investigate the 2-DOF PID control system in the position control system and verify the effectiveness of proposal method through the result of computer simulation.

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Subgoal Generation Algorithm for Effective Composition of Path-Planning

  • Kim, Chan-Hoi;Park, Jong-Koo
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1496-1499
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    • 2004
  • In this paper, we deal with a novel path planning algorithm to find collision-free path for a moving robot to find an appropriate path from initial position to goal position. The robot should make progress by avoiding obstacles located at unknown position. Such problem is called the path planning. We propose so called the subgoal generation algorithm to find an effective collision-free path. The generation and selection of the subgoal are the key point of this algorithm. Several subgoals, if necessary, are generated by analyzing the map information. The subgoal is the candidate for the final path to be pass through. Then selection algorithm is executed to choose appropriate subgoal to construct a correct path. Deep and through explanations are given for the proposed algorithm. Simulation example is given to show the effectiveness of the proposed algorithm.

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