• Title/Summary/Keyword: Friction Control

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Adaptive Discrete Time Sliding-Mode Tracking Control of a Proportional Control Valve-Hydraulic System in the presence of friction (비선형 마찰특성을 고려한 비례제어밸브·유압실린더계의 적응 이산시간 슬라이딩모드 추적제어)

  • Yu, Hwan-Shin;Park, Hyung-Bae
    • Journal of Advanced Navigation Technology
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    • v.13 no.5
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    • pp.756-762
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    • 2009
  • As nonlinear friction, stick-slip friction in hydraulic actuators are a problem for accuracy and repeatability. Therefore friction compensation has been approached through various control algorithms. A Adaptive discrete time sliding mode tracking controller has been applied in order to compensate the nonlinear friction characteristics in a hydraulic Actuator. Based on the diophantine equation, a new discrete time sliding function is defined and utilized for the control law which includes a friction and modeling error. Robustness is increased by using both a projection algorithm and a sliding function-based nonlinear feedforward. From the results of simulation and experiment good tracking performance is achieved.

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A Robust PID Control Algorithm for a Servo Manipulator with Friction

  • Jin, Jae-Hyun;Park, Byung-Suk;Lee, Hyo-Jik;Yoon, Ji-Sup
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2275-2278
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    • 2005
  • In this paper, a control algorithm for a servo manipulator is focused on. A servo manipulator system has been developed for remotely handling radioactive materials in a hot cell. It is driven by servo motors. The torque from a servo motor is transferred through a reducer to the corresponding axis. The PID control algorithm is a simple and effective algorithm for such application. However, since friction degrades the algorithm's performance, friction has to be considered and compensated. The major aberrations are the positional tracking errors and the limit cycle. The authors have considered a switching term to a conventional PID algorithm to reduce the friction's effect. It has been tested by a hardware test.

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Precise Control of Dynamic Friction Using SMC and Nonlinear Observer (SMC와 비선형관측기를 이용한 동적마찰에 대한 정밀추종제어)

  • Han, Seong-Ik
    • Proceedings of the KSME Conference
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    • 2001.11a
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    • pp.692-697
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    • 2001
  • A precise tracking control scheme on the system in presence of nonlinear dynamic friction is proposed. In this control scheme, the standard SMC is combined with the nonlinear observer to estimate the dynamic friction state that is impossible to measure. Then this control scheme has the good tracking performance and the robustness to parameter variation compared with the standard SMC and the PiD based nonlinear observer control system. This fact is proved by the experiment on the ball-screw driven servo system with the dynamic friction model.

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Position Control of Servo Systems Using Feed-Forward Friction Compensation (피드포워드 마찰 보상을 이용한 서보 시스템의 위치 제어)

  • Park, Min-Gyu;Kim, Han-Me;Shin, Jong-Min;Kim, Jong-Shik
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.5
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    • pp.508-513
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    • 2009
  • Friction is an important factor for precise position tracking control of servo systems. Servo systems with highly nonlinear friction are sensitive to the variation of operating condition. To overcome this problem, we use the LuGre friction model which can consider dynamic characteristics of friction. The LuGre friction model is used as a feed-forward compensator to improve tracking performance of servo systems. The parameters of the LuGre friction model are identified through experiments. The experimental result shows that the tracking performance of servo systems with higherly nonlinear friction can be improved by using feed-forward friction compensation.

ABS Sliding Mode Control considering Optimum Road Friction Force of Tyre (타이어의 최적 노면 마찰력을 고려한 ABS 슬라이딩 모드 제어)

  • Kim, Jungsik
    • Transactions of the Korean Society of Automotive Engineers
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    • v.21 no.1
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    • pp.78-85
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    • 2013
  • This paper presents the sliding mode control methods for anti-lock brake system (ABS) with the friction force observer. Using a simplified quarter car model, the sliding mode controller for ABS is designed to track the desired wheel slip ratio. Here, new method to find the desired wheel slip ratio which produces the maximum friction force between road and tire is suggested. The desired wheel slip ratio is varying according road and tire conditions to produce maximum friction force. In order to find optimum desired wheel slip ratio, the sliding mode observer for friction force is used. The proposed sliding mode controller with observer is evaluated in simulation, and the control design is shown to have high performance on roads with constant and varying adhesion coefficients.

Tension Control Using On-Line Compensation of Friction Loss for Continuous Strip Processing Line (연속 공정 라인의 실시간 마찰손 보상을 통한 장력 제어 특성 개선)

  • Lee, Jeong-Uk;Choi, Chang-Ho;Song, Seung-Ho;Hyun, Dong-Seok
    • Proceedings of the KIEE Conference
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    • 2000.07b
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    • pp.1096-1098
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    • 2000
  • This paper proposes a tension control to compensate friction loss using on-line friction torque observer for a continuous strip processing line. Friction loss of roller results in significant deviation of strip tension. accordingly it has an influence on the operation of other adjacent rolls. To avoid tension variation of the strip, a friction torque observer is designed in adjacent roll, which operates in speed control mode. The experimental results show improvement of tension control performance by the proposed friction compensation method.

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Position Control of Linear Motor based Transfer Systems using Fuzzy Inference (퍼지논리를 이용한 선형모터 기반 이송시스템의 위치 제어)

  • Seo, Jung-Hyun;Lee, Jin-Woo;Cho, Hyun-Cheol;Lee, Kwon-Soon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.4
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    • pp.777-783
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    • 2007
  • In this paper, we present a novel control approach for linear motor-based transfer systems in which friction reduction and enhancement of control performance are considered. In general, in such systems friction effects from rails and wheels, and internal bearings complicate control scheme since in particularly its dynamics are arbitrarily changed due to mass variation, detent force of motor systems, and gaps among stators. Our control approach is achieved to reduce this undesired friction dynamics using fuzzy system. We construct hybrid control approach for this control system which Is composed of a nominal control and a vertical control against friction. Fuzzy parameter vector is optimally determined from iterative simulation experiments. We demonstrate its superiority via numerical simulations comparing with a traditional control method.

Advanced Sorting Conditions Modeling of Frictional Force

  • Cho, Yong-Hee;Lee, Jeong-Wook;Chang, Yong-Hoon;Kim, Jung-Ha
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.439-443
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    • 2004
  • In this research, we describe the sorting conditions modeling by friction force. As in any mechanism which is required to provide good dynamic performance and high accuracy, performance evaluation of optimal control. To understand friction it is necessary to investigate the topography of the sliding surfaces in contact. Any surfaces, even apparently smooth surfaces, are microscopically rough. When two surfaces come into contact, the true contact takes place only at point where asperities come together. The sorting conditions of sorting mechanism with friction force is sorting force must be equal with force can sorting one highest veneer among loaded veneer. This is just a thing being sorted veneer have friction with under veneer and this friction disturb sorting at the same time. Hence, the sorting conditions evaluation is important to sorting one veneer must get under control friction with veneer.

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A Study on the Intelligent Position Control System Using Sliding Mode and Friction Observer (슬라이딩 모드와 마찰관측기를 이용한 강인한 지능형 위치 제어시스템 연구)

  • Han, Seong-Ik;Lee, Yong-Jin;Lee, Kwon-Soon;Nam, Hyun-Do
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.59 no.2
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    • pp.163-172
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    • 2010
  • A robust positioning control system has been studied using a friction parameter observer and a recurrent fuzzy neural network based on the sliding model. To estimate a nonlinear friction parameters of the LuGre friction model, a dual friction model-based observer is introduced. In addition, an approximating method for a system uncertainty has been developed using a recurrent fuzzy neural network technique to improve positioning performance. Experimental results have been presented to validate the performance of a proposed intelligent compensation scheme.