• Title/Summary/Keyword: Swinging-up Control

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Swinging-up the Rotational Inverted Pendulum with Limited Sector of Arm Angle via Energy Control

  • Nundrakwang, Songmoung;Cahyadi, Adha I.;Isarakorn, Don;Benjanarasuth, Taworn;Ngamwiwit, Jongkol;Komine, Noriyuki
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2116-2119
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    • 2005
  • Inverted pendulum is a classical example and a famous tool for testing the effectiveness of many control schemes. Owing to their nonlinearity and unstable characteristic, a controller development either for swinging-up or stabilizing its upright position had been a great interest of many researchers. In this paper, the swinging-up control of the inverted pendulum using energy control will be presented. However, the saturation function in its control law could harm the experimental equipments. In addition, this swinging-up method did not consider limited sector of the arm angle to avoid another hazard, for instance, the twisted cable in the apparatus. Therefore, in this paper the position control of the arm angle using simple PD control in accordance with the energy control is proposed. Consequently, the limited arm sector angle can be achieved and the saturation function can also be replaced effectively by the PD control.

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Hybrid PD-Servo State Feedback Control Algorithm for Swing up Inverted Pendulum System

  • Nundrakwang, Songmoung;Benjanarasuth, Taworn;Ngamwiwit, Jongkol;Komine, Noriyuki
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.690-693
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    • 2005
  • In this paper, a hybrid PD-servo state feedback control algorithm for swing up inverted pendulum system is proposed. It consists of two parts. The first part is the PD position control for swinging up the pendulum from the natural pendent position to around the upright position and the second part is the servo state feedback control for stabilizing the inverted pendulum in upright position. The first controller is PD controller and it is tuned to control the position of the pendulum by moving the cart back and forth until the pendulum swings up around the upright position. Then the second controller will be switched to stabilize the inverted pendulum in its upright position. The controller in this stage is the servo state feedback controller designed by pole placement. Experimental results of PD type swinging up control system, of stabilizing servo state feedback control system and of the proposed hybrid PD-servo state feedback control system to swing up and stabilize inverted pendulum show that the proposed method is effective and reliable for actual implementation while it is simple.

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An application of manual control to swinging-up of a one-link pendulum

  • Takahashi, T.;Sato, H.;Ishihara, T.;Inooka, H.
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.772-775
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    • 1989
  • It is difficult to obtain a swinging-up control sequence of a one-link pendulum analytically or numerically. In this paper, we obtain a proper control sequence through manual control experiments. However, no proper control sequence will be obtained if the rotational velocity of the pendulum is fast for the human operator. To overcome such a disadvantage, we propose a method for training the operator by using a pendulum simulator.

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Virtual Model Control of a Posture Balancing Biped Acrobatic Robot with Fuzzy Control for Pendulum Swing Motion Generation (진자 흔들기 퍼지 제어기가 추가된 가상모델 제어 2족 곡예로봇 자세 균형 제어)

  • Lee, Byoung-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.11
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    • pp.904-911
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    • 2001
  • A broomstick swinging biped acrobatic controller is designed and simulated to show capability of the system of controllers: virtual model controller is employed for the robot\`s posture balancing control while a higher level fuzzy controller modulate the one of the virtual model controller\`s parameter for the pendulum swinging motion generation. The robot is of 7 degree-of-freedom, 8-link planar bipedal robot having two slim legs and a body. Each leg consists of a hip joint, a knee joint, an ankle joint and the body has a free joint at the top in the head at which a freely rotating broomstick is attached. We assume that the goal for the acrobat robot is to maintain a body balance in the sagittal plane while swinging up the freely up the freely rotating pendulum. We also assume that the actuators in the joints are all ideal torque generators. The proposed system of controllers satisfies the goal and the simulation results are presented.

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Swing-up and Stabilization Control of a SESIP System (SESIP 시스템의 스윙업과 안정화 제어)

  • So, Myung-Ok;Yoo, Heui-Han;Ryu, Ki-Tak;Lee, Yun-Hyung;Lee, Jong-Hwan
    • Journal of Advanced Marine Engineering and Technology
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    • v.34 no.2
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    • pp.310-317
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    • 2010
  • In this paper, we propose a method for swing-up and stabilization of a SESIP(Self-Erecting Single Inverted Pendulum) system which is one of the typical nonlinear systems. We use PV(Proportional velocity) controller for swinging up the pendulum and employ a PI-type state-feedback controller for stabilizing the pendulum. Control is switched to a stabilizing controller, which is designed to balance the inverted position of pendulum and the cart position to the near vertical position. Computer simulations are performed to illustrate the control performance of the proposed scheme.

Control of a Rotary Inverted Pendulum System Using Brain Emotional Learning Based Intelligent Controller (BELBIC을 이용한 Rotary Inverted Pendulum 제어)

  • Kim, Jae-Won;Oh, Chae-Youn
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.22 no.5
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    • pp.837-844
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    • 2013
  • This study performs erection of a pendulum hanging at a free end of an arm by rotating the arm to the upright position. A mathematical model of a rotary inverted pendulum system (RIPS) is derived. A brain emotional learning based intelligent controller (BELBIC) is designed and used as a controller for swinging up and balancing the pendulum of the RIPS. In simulations performed in the study, a pendulum is initially inclined at $45^{\circ}$ with respect to the upright position. A simulation is also performed for evaluating the adaptiveness of the designed BELBIC in the case of system variation. In addition, a simulation is performed for evaluating the robustness of the designed BELBIC against a disturbance in the control input.