• Title/Summary/Keyword: Position controller

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Speed and position control of the AC motor using variable structure controller with disturbance observer (외란 관측자와 가변구조제어기를 이용한 AC 서보모터의 속도 및 위치 제어)

  • 은용순;김광수;조동일
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.652-655
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    • 1996
  • This paper develops an AC motor controller for applications. The AC motor controller is designed based on the variable structure control method and a variable structure disturbance observer is added to reduce the effects of exogenous disturbances. The designed controller is installed on the z-axis of a CNC machining center and milling experiments were performed. The results show improved performance on both position and speed tracking, when compared to the factory-designed servo controller.

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Study on Design PI Controller Adopted Sliding Mode Control for DC Servo Motor Position Control (슬라이딩 모드 제어 이론을 적용한 PI 제어기에 의한 직류 서보 모타의 위치 제어에 관한 연구)

  • Park, Kyeong-Bae;Won, Jong-Soo
    • Proceedings of the KIEE Conference
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    • 1989.11a
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    • pp.29-32
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    • 1989
  • This paper proposes new position control method for DC servo motor by PI controller adopting sliding mode control. By adding sliding mode controller to conventional PI controller good robustness is obtained with good transient response and no steady state error which are merits in PI controller. In order to use microprocessor for digital control the principles of sliding mode control conventionally explained in continous-time system are extended to discrete-time system.

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Design of Multi-Input Multi-Output Positive Position feedback Controller based on Block-Inverse Technique (블록 역행렬 기법에 의한 다중입출력 양변위 되먹임제어기의 설계)

  • Kwak, Moon-K.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.05a
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    • pp.508-514
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    • 2005
  • This paper is concerned with the active vibration control of a grid structure equipped with piezoceramic sensors and actuators. The grid structure is a replica of the solar panel commonly mounted on satellites, which contains complex natural mode shapes. The multi input and multi output positive position feedback controller is considered as an active vibration controller for the grid structure. A new concept, the block-inverse technique, is proposed to cope with more modes than the number of actuators and sensors. This study also deals with the stability and the spillover effect associated with the application of the multi-input multi-output positive position feedback controller based on the block inverse technique. It was found that the theories developed in this study are capable of predicting the control system characteristics and its performance. The new multi-input multi-output positive position feedback controller was applied to the test structure using a digital signal processor and its efficacy was verified by experiments..

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Anti-sway and Position 3D Control of the Nonlinear Crane System using Fuzzy Algorithm

  • Lee, Tae-Young;Lee, Sang-Ryong
    • International Journal of Precision Engineering and Manufacturing
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    • v.3 no.1
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    • pp.66-75
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    • 2002
  • The crane operation used fur transporting heavy loads causes a swinging motion with the loads due to the crane\`s acceleration and deceleration. This sway causes the suspension ropes to leave their grooves and can cause serious damage. Ideally, the purpose of a crane system is to transport loads to a goal position as soon as possible without any oscillation of the rope. Currently, cranes are generally operated based on expert knowledge alone, accordingly, the development of a satisfactory control method that can efficiently suppress object sway during transport is essential. The dynamic behavior of a crane shows nonlinear characteristics. When the length of the rope is changed, a crane becomes a time-varying system thus the design of an anti-sway controller is very difficult. In this paper, a nonlinear dynamic model is derived for an industrial overhead crane whose girder, trolley, and hoister move simultaneously. Furthermore, a fuzzy logic controller, based on expert experiments during acceleration, constant velocity, deceleration, and stop position periods is proposed to suppress the swing motion and control the position of the crane. Computer simulation is then used to test the performance of the fuzzy controller with the nonlinear crane model.

Adaptive Feed-forward Control with Reference Model for Position Controller (기준모델과 피드포워드 적응제어를 사용한 위치제어기)

  • 윤명하;최남열;이치환
    • The Transactions of the Korean Institute of Power Electronics
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    • v.7 no.5
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    • pp.413-418
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    • 2002
  • This paper proposed a feed-forward adaptive position controller that is robust for variable Inertia. The control system consists of PI Position controller, feed-forward and model reference adaptive control. A parameter g(t) of the feed-forward adaptive position controller is adapted by using both the reference model speed and position error. So it improves the transient response and reduces the settling time. And normalization function Is used to make linear adaptation time. The validity of the feed-forward adaptive controller is confirmed by simulation results.

Anti-sway and 3D position Control of the Nonlinear Crane System using Fuzzy Algorithm (퍼지 알고리즘을 이용한 비선형 크레인 시스템의 진동방지 및 3차원 위치제어)

  • Lee, Tae-Young;Lee, Sang-Ryong
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.8
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    • pp.193-202
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    • 1999
  • Crane operation for transporting heavy loads causes swinging motion at the loads due to crane's acceleration and deceleration. This sway causes the suspension ropes to leave their grooves and leads to possibility of serious damages. So, this swing of the objects is a serious problem and the goal of crane system is transporting to a goal position as soon as possible without the oscillation of the rope. Generally crane is operated by expert's knowledge. Therefore, a satisfactory control method to supress object sway during transport is indispensible. The dynamic behavior of the crane shows nonlinear characteristics. when the length of the rope is changed the crane is time varying system and the design of anti-sway controller is very difficult. In this paper, the nonlinear dynamic model for the industrial overhead crane whose girder, trolley and hoister move simultaneously is derived. and the Fuzzy logic controller based on the expert experiments during acceleration, constant velocity, deceleration and stop position period is proposed to supress the swing motion and control the position of the crane. The performance of the fuzzy controller for the nonlinear crane model is simulated on the personal computer.

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Design of Multi-input Multi-output Positive Position Feedback Controller Based on Block-inverse Technique (블록 역행렬 기법에 의한 다중입출력 양변위 되먹임제어기의 설계)

  • Kwak, Moon K.
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.15 no.9 s.102
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    • pp.1037-1044
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    • 2005
  • This paper is concerned with the active vibration control of a grid structure equipped with piezoceramic sensors and actuators. The grid structure is a replica of the solar panel commonly mounted on satellites, which contains complex natural mode shapes. The multi-input and multi-output positive position feedback controller is considered as an active vibration controller for the grid structure. A new concept, the block-inverse technique, is proposed to cope with more modes than the number of actuators and sensors. This study also deals with the stability and the spillover effect associated with the application of the multi-input multi-output positive position feedback controller based on the block-inverse technique. It was found that the theories developed in this study are capable of predicting the control system characteristics and its performance. The new multi-input multi-output positive position feedback controller was applied to the test structure using a digital signal processor and its efficacy was verified by experiments.

Nonlinear adaptive control for position tracking of AC servo-motors (AC 서보 모터의 위치제어를 위한 비선형 적응제어)

  • 이현배;박정동;국태용
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.314-317
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    • 1996
  • In this paper, we present a nonlinear adaptive controller for position tracking of induction motors. In constructing the adaptive controller, a backstepping approach is used under the condition of full state information, while a nonlinear observer is adopted for rotor flux estimation. The adaptive controller is shown to drive the state variables of system to the desired ones asymptotically and whose effectiveness is also shown via computer simulation.

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An Implementation of Mutual Tuning Controller for Position Control of Multiple Hydraulic Cylinders

  • Kim, Jin-Gyu;Park, Jang-Ho;Ryu, Gi-Seok;Park, Hyo-Sik;Lim, Jong-Ok;Kim, Jong-Hwa
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.67.4-67
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    • 2001
  • In order to push or pull a heavy weight structure, the positions of multiple hydraulic cylinders participated on must be tuned sumultaneously. To do this, it is necessary to control the position of each hydraulic cylinder through mutual tuning controller. In this paper, a tuning control of multiple hydraulic cylinders is introduced under the assumption that each position controller for each cylinder is used.

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Hybrid position/force controller design of the robot manipulator using neural network (신경 회로망을 이용한 로보트 매니퓰레이터의 Hybrid 위치/힘 제어기의 설계)

  • 조현찬;전홍태;이홍기
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.24-29
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    • 1990
  • In this paper ,ie propose a hybrid position/force controller of a robot manipulator using double-layer neural network. Each layer is constructed from inverse dynamics and Jacobian transpose matrix, respectively. The weighting value of each neuron is trained by using a feedback force as an error signal. If the neural networks are sufficiently trained it does not require the feedback-loop with error signals. The effectiveness of the proposed hybrid position/force controller is demonstrated by computer simulation using a PUMA 560 manipulator.

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