• Title/Summary/Keyword: Point-position control

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A study about rotor position estimation enhance using IQ math in DSP (DSP 내의 IQ math를 이용한 회전자 위치 추정 정밀도 향상에 관한 연구)

  • Jang, Joong-Hack;Lee, Kwang-Ho;Hong, Sun-Ki
    • Proceedings of the KIEE Conference
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    • 2005.10c
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    • pp.98-100
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    • 2005
  • DSPs used at motor control are usually fixed point processor. They need scaling because they cannot excute floating point calculation. Scaling for floating point calculation makes the DSP's speed down, complex coding and etc. Therefore the IQ math is adopted. IQ math makes the fixed point processor possible to calculate the floating point math. In addition, IQ math can reduce memory usage and be more faster than that without IQ math. It seems that IQ math is appropriate in motor position control. In comparison of the position calculation between the IQ math, math function and the sine table, the method using IQ math is superior than other methods.

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End-Point Position Control of a Flexible Manipulator (유연한 조작기의 끝점 위치 제어)

  • 이재원;주해호
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.7
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    • pp.1307-1313
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    • 1992
  • The end-point position control of a flexible manipulator is a non-minimum phase system. The PD feedback of the end-point position is not stable in contrast with that of the hub jangle. However, the system can be stabilized conditionally by the feedback of both the hub rate angle and the end-point position. Even in the non-minimum system, the LQG/LTR control law is more systmatic controller design method than the classical control law which uses a root-locus technique.

High Resolution Position Control of Linear Permanent Magnet Synchronous Motor for SMD Placement System (SMD Mounter용 선형 영구자석 동기기의 고정밀 위치제어)

  • Kim, Jang-Hwan;Sul, Seung-Ki;Jeon, Jeong-Yul;Choi, Yun-Kyu
    • Proceedings of the KIEE Conference
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    • 2001.04a
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    • pp.314-316
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    • 2001
  • This paper present the position control method for the application of permanent magnet linear synchronous motor. Controller is designed as a conventional P-PI controller, but the extra information is used such as velocity and acceleration from motion profiles. The profiles comes from S-Curve which is an optimized point-to-point motion profiles to achieve fast motions with minimum vibration[2]. In this application, the targets of the position control are maximum 10um position error within 10msec after respective ending point of position profiles. The implementation of the controller has been done in full digital way. All the controller is designed on the DSP TMS320VC33 control board. To prove performance of the controller, the experiment was performed with a servo linear motor.

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Robust position control of DC motor using fuzzy acceleration control (퍼지 가속도제어를 이용한 직류전동기의 강인한 위치제어)

  • 박귀태;이기상;배상욱;박태홍
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.451-456
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    • 1991
  • A robust position control scheme for DC Motor is proposed based on Fuzzy Acceleration Control. Proposed control system has the similar structure that Y. Hori proposed. But the PI type acceleration controller of it is replaced by Fuzzy Logic Controller(FLC) which is known to be robust to the operating point and parameter variations. By the simulation study for a real DC Motor, we have slowed the superiority to the continuous PI acceleration controller in the view point of robustness to the operating point and parameter variations.

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A 3-D Position Compensation Method of Industrial Robot Using Block Interpolation (블록 보간법을 이용한 산업용 로봇의 3차원 위치 보정기법)

  • Ryu, Hang-Ki;Woo, Kyung-Hang;Choi, Won-Ho;Lee, Jae-Kook
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.3
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    • pp.235-241
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    • 2007
  • This paper proposes a self-calibration method of robots those are used in industrial assembly lines. The proposed method is a position compensation using laser sensor and vision camera. Because the laser sensor is cross type laser sensor which can scan a horizontal and vertical line, it is efficient way to detect a feature of vehicle and winding shape of vehicle's body. For position compensation of 3-Dimensional axis, we applied block interpolation method. For selecting feature point, pattern matching method is used and 3-D position is selected by Euclidean distance mapping between 462 feature values and evaluated feature point. In order to evaluate the proposed algorithm, experiments are performed in real industrial vehicle assembly line. In results, robot's working point can be displayed 3-D points. These points are used to diagnosis error of position and reselecting working point.

Precise position control with a low cost BLDCM drive (저가형 BLDCM 구동장치를 이용한 정밀위치제어)

  • 강석주;김준석;설승기;김덕근
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.44 no.4
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    • pp.447-452
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    • 1995
  • In this paper a simple method of a position control for brushless DC motor is presented. For precise position control, a high performance torque controller is needed and a novel current control method is proposed. The current controller detects the uncommutating mode current for every 60.deg. (elec. angle) and controls it with PI controller. The current control loop includes the feedforward of back EMF and the feedforward of the neutral voltage between the neutral point of the inverter and the neutral point of the machine. In the position control, the acceleration pattern is calculated from the position reference. Then the speed trajectory is calculated from the acceleration pattern. The experimental results are presented to verify the proposed methods.

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A Study on Tracking Position Control of Pneumatic Actuators Using Neural Network (신경회로망을 이용한 공압구동기의 위치 추종제어에 관한 연구)

  • Gi Heung Choi
    • Journal of the Korean Society of Safety
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    • v.15 no.3
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    • pp.115-123
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    • 2000
  • Pneumatic actuators are widely used in a variety of hazardous working environments. Any process that involves pneumatic actuation is also recognized as "eco-friendly". In most cases, applications of pneumatic actuators require only point-to-point control. In recent years, research efforts have been directed toward achieving precise position tracking control. In this study, a tracking position control method is proposed and experimentally evaluated for a linear positioning system. The positioning system is composed of a pneumatic actuator and a 3-port proportional valve. The proposed controller has an inner pressure control loop and an outer position control loop. A PID controller with feedback linearization is used in the pressure control loop to nullify the nonlinearity arising from the compressibility of the air. The position controller is also a PID controller augmented with the friction compensation by a neural network. Experimental results indicate that the proposed controller significantly improves the tracking performance.rformance.

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A Study on Operation of Man-Machine Interface for Tractor 3-point Hitch (트랙터 3점 히치의 인간-기계 인터페이스 동작에 관한 연구)

  • Lee, S.S.;Lee, C.H.;Lee, J.Y.;Mun, J.H.
    • Journal of Biosystems Engineering
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    • v.32 no.5
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    • pp.284-291
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    • 2007
  • This study was to investigate performance of position, basic controls and additional control for man-machine interface on a 3-point hitch of a tractor. The developed additional control was one-touchup, backup, turnup, liftarm limited, PTO on/off and an external control. As a result of experiment, maximum steady state error of response system was lower than $0.8^{\circ}$ and this result showed the function operated normally because the dead band of system set was ${\pm}1^{\circ}$. There was no abnormal situation by switch operation and sensor signal during the performance test. The results of experiment showed the characteristics of the response was sufficient to be used as the position and additional control system for tractors.

Modeling of vision based robot formation control using fuzzy logic controller and extended Kalman filter

  • Rusdinar, Angga;Kim, Sung-Shin
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.12 no.3
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    • pp.238-244
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    • 2012
  • A modeling of vision based robot formation control system using fuzzy logic controller and extended Kalman filter is presented in this paper. The main problems affecting formation controls using fuzzy logic controller and vision based robots are: a robot's position in a formation need to be maintained, how to develop the membership function in order to obtain the optimal fuzzy system control that has the ability to do the formation control and the noise coming from camera process changes the position of references view. In order to handle these problems, we propose a fuzzy logic controller system equipped with a dynamic output membership function that controls the speed of the robot wheels to handle the maintenance position in formation. The output membership function changes over time based on changes in input at time t-1 to t. The noises appearing in image processing change the virtual target point positions are handled by Extended Kalman filter. The virtual target positions are established in order to define the formations. The virtual target point positions can be changed at any time in accordance with the desired formation. These algorithms have been validated through simulation. The simulations confirm that the follower robots reach their target point in a short time and are able to maintain their position in the formation although the noises change the target point positions.

End-point control of a flexible arm under base fluctuation

  • Chonan, Seiji;Sato, Hidehiro
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.600-605
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    • 1989
  • A theoretical study is presented for the end-point holding control of a one-link flexible arm, whose base is subjected to a lateral fluctuation. The arm is clamped on a rigid hub mounted directly on the shaft of d.c. servomoter. The tip position is measured by a gap sensor fixed in space isolated from the system vibration. The arm is controlled so as to make the end point stay precisely at its initial position even if the base is fluctuated.

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