• Title/Summary/Keyword: Acceleration Feedback Controller

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DC Servo Motor Position Control System Based on Model Following Acceleration Control (모델추종 가속도제어기법을 이용한 직류서보전동기 위치제어계)

  • Park, Young-Jeen;Lee, Kee-Sang;Hong, Soon-Chan
    • Proceedings of the KIEE Conference
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    • 1995.07a
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    • pp.261-264
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    • 1995
  • A scheme of observer-based MFAC(Model Following Acceleration Control) system is proposed for the DC servo position control system. The proposed system is competed of MFAC, feedback controller, and reduced-order state observer. As the servo motor is controlled by the acceleration command, the total servo system becomes the acceleration control system. Simulation results show that the proposed system have robust properties against parameter variations and external disturbances.

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Intelligent Switching Control of Pneumatic Cylinders by Learning Vector Quantization Neural Network

  • Ahn KyoungKwan;Lee ByungRyong
    • Journal of Mechanical Science and Technology
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    • v.19 no.2
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    • pp.529-539
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    • 2005
  • The development of a fast, accurate, and inexpensive position-controlled pneumatic actuator that may be applied to various practical positioning applications with various external loads is described in this paper. A novel modified pulse-width modulation (MPWM) valve pulsing algorithm allows on/off solenoid valves to be used in place of costly servo valves. A comparison between the system response of the standard PWM technique and that of the modified PWM technique shows that the performance of the proposed technique was significantly increased. A state-feedback controller with position, velocity and acceleration feedback was successfully implemented as a continuous controller. A switching algorithm for control parameters using a learning vector quantization neural network (LVQNN) has newly proposed, which classifies the external load of the pneumatic actuator. The effectiveness of this proposed control algorithm with smooth switching control has been demonstrated through experiments with various external loads.

High accuracy position control of pneumatic rodless cylinder using LVQNN (LVQNN을 이용한 공압 로드리스 실린더의 고정도 위치제어)

  • 표성만;정민화;안경관;이병룡;양순용
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.1012-1017
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    • 2003
  • The development of a fast, accurate, and inexpensive position-controlled pneumatic actuator that may be applied to a variety of practical positioning applications with various external loads is described in this paper. A novel modified pulso width modulation (MPWM) valve pulsing algorithm allows on/off solenoid valves to be used in place of costly servo valves. A comparison between the system response of standard PWM technique and that of the novel modified PWM technique shows that the control performance is significantly increased. A state feedback controller with position, velocity and acceleration feedback is successfully implemented as the continuous controller. Switching algorithm of control parameter using learning vector quantization neural network (LVQNN) is newly proposed. which estimates the external loads of the pneumatic actuator. The effectiveness of the proposed control algorithms are demonstrated through experiments with various loads.

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Intelligent Control of Pneumatic Actuator using On/Off Valve (On/Off 밸브를 이용한 공압 실린더의 지능제어)

  • 안경관;표성만;송인성;이병룡;양순용
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.8
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    • pp.86-93
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    • 2003
  • The development of a fast, accurate, and inexpensive position-controlled pneumatic actuator that may be applied to a variety of practical positioning applications with various external loads is described in this paper. A novel modified pulse width modulation (MPWM) valve pulsing algorithm allows on/off solenoid valves to be used in place of costly servo valves. A comparison between the system response of standard PWM technique and that of the novel modified PWM technique shows that the control performance is significantly increased. A state feedback controller with position, velocity and acceleration feedback is successfully implemented as the continuous controller. Switching algorithm of control parameter using learning vector quantization neural network (LVQNN) is newly proposed, which estimates the external loads of the pneumatic actuator. The effectiveness of the proposed control algorithms are demonstrated through experiments with various loads.

An Experimental Study upon Modeling and Control of Coupled Engine and Generator System (엔진-발전기 시스템 모델링 및 제어특성에 관한 실험적 연구)

  • 송승호;정세종;오정훈;함윤영;최용각;이광희
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.5
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    • pp.163-169
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    • 2003
  • Modeling of engine-generator system and its control responses are investigated using high performance generator controller. The nonlinear engine is modeled using mean torque production model based on experimental engine map. In case of diesel engine. the amount of injected fief is decided by engine controller depending on the APS(Acceleration Position Sensor) value. An electromechanical generator model contains electrical circuits and moment of inertia. The generator controller maximizes the performance of generator using decoupling and linearized current feedback control. The generator control system consists of 3-phase IGBT inverter and controller board based on 32 bit floating point DSP. Field oriented control algorithm with digital current feedback control at 10kHz sampling enabled high performance torque and speed control of induction machine. Not only the steady state but also the transient state responses can be evaluated through a batch test of the engine generator system. Developed engine and generator modeling and control can be utilized in various applications such as Series Hybrid Electric Vehicle(SHEV), engine-generator for emergency, and other hybrid generation systems.

A Study on Yaw Control of Multi-Fan Hovering with SRFIMF (SRFIMF를 이용한 멀티팬 부상기의 YAW제어에 관한 연구)

  • 박선국;최부귀
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.4
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    • pp.361-370
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    • 1992
  • A controller of the hovering VTOL aircraft with four fan is constructed by SRFIMF(State Rate Feedback Implicit Model-Following)theory, in which feedback state are angle acceleration, angle velocity and angle position of the aircraft during hover With yaw control of the system, characteristics of the hovering aircraft can be analyzed by changing states feedback gain and sponse provides robust stable hovering system.

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Adaptive Observer Based Longitudinal Control of Vehicles

  • Rhee, Hyoung-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.5 no.3
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    • pp.266-272
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    • 2004
  • In this paper, an observer-based adaptive controller is proposed to control the longitudinal motion of vehicles. The standard gradient method will be used to estimate the vehicle parameters such as mass, time constant, etc. The nonlinear model between the driving force and the vehicle acceleration will be chosen to design the state observer for the vehicle velocity and acceleration. It will be shown that the proposed observer is exponentially stable, and that the adaptive controller proposed in this paper is stable by the Lyapunov function candidate. It will be proved that the errors of the relative distance, velocity and acceleration converge to zero asymptotically fast, and that the overall system is also asymptotically stable. The simulation results are presented to investigate the effectiveness of the proposed method.

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Anti-swing of the Nonlinear Overhead Crane Using Partial State Feedback Control (부분상태 궤환제어를 이용한 비선형 천정크레인의 진자각제어)

  • Lee, Jong-Kyu;Lee, Sang-Ryong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.21 no.6
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    • pp.907-917
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    • 1997
  • The purpose of this study is to design an anti-sway motion for industrial overhead cranes which transport objects on a horizontal plane by adjusting movements of a trolley motor and a girder motor. The movement of a hoist motor has not been considered at this time since its role was assumed to move objects only vertically, therefore, not to affect the swing motion of objects. The dynamic behavior of the swing motion shows nonlinear characteristics, which makes the design of anti-sway motion controller difficult. First of all, the nonlinear state equation for the motion of industrial overhead cranes has been derived. Then they have been linearized about normal operating states determined by the dynamic characteristics of motor motion-acceleration, constant speed, and deceleration, and deceleration, during transportation. The partial state feedback control algorithm based on this linearized state equation has been developed on order to suppress the swing motion. The simulation results have demonstrated satisfactory performance of the proposed controller.

Robust Control of Flexible Structure Using Dynamic Vibration Absorber (동흡진기를 이용한 유연 구조물의 강건제어)

  • Sim Sangdeok;Kang Hoshik;Jong Namheui;Jang Kangseok;Kim Doohoon;Song Ohseop
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.29 no.8 s.239
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    • pp.1093-1101
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    • 2005
  • Hybrid mass damper systems have recently been introduced as a dynamic vibration absorber to exploit the benefits of both the conventional tuned mass damper system and the active control system. A hybrid system is programmed to function as either a conventional TMD or as an active system according to the wind conditions and the resultant building and damper mass vibration characteristics. This paper deals with the design of the robust controller for the control of the flexible box structure. The control algorithm was devised based on $H_2$(LQG) robust control logic with acceleration feedback and to improve the capability of the controller Kalman Filter was accepted for the system. To test the ability of the robust controller using the linear motor damper system, performance tests and simulations were carried out on the full-scale steel frame structure. Through the performance tests, it was confirmed that acceleration levels are reduced down.

A Study on the Position Control and Simulation of Pneumatic Servo System (공기압 서보 시스템의 위치 제어 및 시뮬레이션에 관한 연구)

  • Choi, Seo-Ho;Hong, Yeh-Sun;Lee, Chung-Oh
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.6
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    • pp.102-113
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    • 1996
  • An experimental and theoretical study on a pneumatic servo system has been conducted using on-off valves and a pneumatic cylinder. A V/I converter has been designed for rapid rising and falling of the solenoid current, which significantly improves the positioning accuracy and settling time of the servo system by shortening the valve opening time. Pulse width modulation was modified to operate on-off valves effectively. A state feedback controller which feeds back position, velocity and acceleration is used to control the system. The influence of controller gains on the system performance is studied to develop a scheme that automatically adjusts the gains using fuzzy logic theory. It is shown experimentally that the proposed fuzzy logic tuner works satisfactorily. A new method for measurements of valve effective areas is proposed, and a partially polytropic model is applied to simulation of the pneumatic system. Simulated results show good agreement with experimental data.

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