• Title/Summary/Keyword: Model following control

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Design of Linear Model Following Controller to Reject Low Frequency Load Disturbance in DC Motor (직류전동기에서 저주파 부하외란에 강인한 선형 모델추종제어기 설계)

  • 윤경섭;이치환;권우현
    • Journal of the Korean Institute of Telematics and Electronics T
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    • v.35T no.1
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    • pp.82-89
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    • 1998
  • PI controller has been used in the servo system. However the time response of the system designed using the PI control scheme does not provide with desirable time response in case of variation in system parameters or perturbation like a torque disturbance. LMFC(Linear model following controller) is being used to make the response of the system follow that of the model even though the parameter variation or the perturbation occurs. In this paper, a design method, RMFC(Robust Model Following Controller) is proposed, which use an auxiliary model in addition to the LMFC, which affords robustness against the low frequency load torque disturbance. The proposed method is more useful to rejecting the low frequency torque disturbance than LMFC. Proposed method is verified by simulation and experiment.

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Model Based Control System Design of Two Wheeled Inverted Pendulum Robot (이륜 도립진자 로봇의 모델 기반 제어 시스템 설계)

  • Ku, Dae-Kwan;Ji, Jun-Keun;Cha, Guee-Soo
    • The Transactions of the Korean Institute of Power Electronics
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    • v.16 no.2
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    • pp.162-172
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    • 2011
  • This paper proposes embedded System of two wheeled inverted pendulum robot designed by model based design method, using MATLAB/SIMULINK and LEGO NXT Mindstorms. At first, stability and performance of controller is verified through modeling and simulation. After that direct conversion from simulation model to C code is carried and effectiveness of controller is experimentally verified. Two wheeled inverted pendulum robot has basic function about autonomous balancing control using principle of inverted pedulum and it is also possible to arrive at destination. In this paper, state feedback controller designed by quadratic optimal control method is used. And quadratic optimal control uses state feedback control gain K to minimize performance index function J. Because it is easy to find gain, this control method can be used in the controller of two wheeled inverted pendulum robot. This proposed robot system is experimentally verified with following performances - balancing control, disturbance rejection, remote control, line following and obstacle avoidance.

Reconfigurable Flight Control Law based on Model Following Scheme and Parameter Estimation (매개변수 추정 및 모델추종 적응제어기법을 이용한재형상 비행제어시스템 연구)

  • Mun, Gwan-Yeong;Kim, Yu-Dan;Lee, Han-Min
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.34 no.3
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    • pp.67-73
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    • 2006
  • In this paper, a reconfigurable model following flight control method is proposed based on direct adaptive scheme using parameter estimation. Adaptive control scheme updates the control gains to make the system output follow the reference output even when fault occurs. By adopting the frequency domain parameter estimation method, system changes by the fault can be estimated. Recursive Fourier transformation is used for system identification. Using recursive Fourier transform, the proposed adaptive control algorithm guarantees the system stability and improves the system characteristics. To evaluate the performance of proposed control method, numerical simulations are performed.

Torque Tracking and Ripple Reduction of Permanent Magnet Synchronous Motor using Finite Control Set-Model Predictive Control (FCS-MPC) (영구자석 동기 전동기의 토크 제어 및 토크 리플 저감을 위한 유한 제어요소 모델 예측제어(FCS-MPC) 설계)

  • Park, Hyo-Seong;Lee, YoungIl
    • The Transactions of the Korean Institute of Power Electronics
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    • v.19 no.3
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    • pp.249-256
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    • 2014
  • This paper proposes a torque control method of permanent magnet synchronous motor, which has small torque ripple. The proposed control method is using the finite control set-model predictive control(FCS-MPC) strategy. An optimal input voltage vector minimizing a cost function is chosen among 6 passible active input voltage vectors following the FCS-MPC strategy. Then, a modulation factor for the optimal input voltage vector is computed to minimize the torque ripple. Thus, the proposed control method yields fast torque response and small torque ripple. The efficacy of the proposed method was verified through simulation and experiment.

Adaptive control of gas metal arc welding process

  • Song, Jae-Bok;Hardt, David-E.
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10b
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    • pp.191-196
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    • 1993
  • Since the welding process is complex and highly nonlinear, it is very difficult to accurately model the process for real-time control. In this paper, a discrete-time transfer function matrix model for gas metal arc welding process is proposed. Although this linearized model is valid only around the operating point of interest, the adaptation mechanism employed in the control system render this model useful over a wide operating range. A multivariable one-step-ahead adaptive control strategy combined with a recursive least-squares method for on-line parameter estimation is implemented in order to achieve the desired weld bead geometries. Command following and disturbance rejection properties of the adaptive control system for both SISO and MIMO cases are investigated by simulation and experiment.

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A Design Method of Model Following Digital PID Controller and Its Application to Speed Control of the Current Source Inverter-Fed Induction Motor (모델추종 디지탈 PID제어기의 설계와 유도전동기에의 적용)

  • 이동철
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.12 no.3
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    • pp.29-36
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    • 1998
  • In this paper, We are proposed a design method of the digital PID controller based on the model following method which minimized the error integral of the step response between the control system and the reference model. And we are applied it by a speed control of the current type inverter induction motor. The dynamic characteristic of the system was expressed by the step response, and then the optimal parameter of the PID controller can be easily obtained by the matrix computation. The derived algorithm can be implemented through a simple and systematic design procedure. Finally, We have shown the result with a computer simulation by the present method which proposed the speed control system and stable operation and fairly transient performance. And then tt was found results by experimental process.

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Power system stabilizer using VSS-MFAC

  • Lee, Sang-Seung;Park, Jong-Keun;Lee, Ju-Jang
    • Proceedings of the KIEE Conference
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    • 1990.11a
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    • pp.227-230
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    • 1990
  • In this paper we present a variable structure systeme-model following adaptive control (VSS-MFAC) method for an uncertain turbo-generator system which is apt to suffer from the unmodeled parameter uncertainties and the external disturbances. The simulation results for the power system stabilizer(PSS) exhibit robust adaptive model-following properties well in the PSS designed by the proposed VSS-MFAC methodology when a step change in the mechanical torque and a parameter variation is applied.

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EMERGENCY BRAKING CONTROL OF A PLATOON USING STRING STABLE CONTROLLER

  • Kang, Y.;Hedrick, J.K.
    • International Journal of Automotive Technology
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    • v.5 no.2
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    • pp.89-94
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    • 2004
  • In this paper, a safe control strategy is considered in the situation when a platoon of vehicles need to decelerate rapidly. When the vehicles ate spaced closely, it is known that the reference information should be transmitted to the whole platoon to minimize the undesirable effects of small leader disturbances. However, the vehicle control should also depend on the preceding vehicle position to maintain the desired distance. Tracking the preceding vehicle position can lead to amplification of the control input along the following vehicles, therefore the vehicles in the rearward generally exert larger maximum control input than the vehicles in the front. The theoretical bounds for the $i^{th}$ vehicle control input are calculated using a linear vehicle and controller model. In the simple illustrative example, the designed controller maintains string stability, and the control inputs of the following vehicles stay within bounds.

A decentralized adaptive model following control scheme for a class of interconnected continuous system (일련의 상호연결된 연속시간 시스템의 비집중 적응 모델 추종 제어 방식)

  • Kim, Byung-Yeun;Lyou, Joon
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.1068-1072
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    • 1991
  • This paper presents a decentralized model reference adaptive control scheme for an interconnected continuous linear system composed of a number of single-input single-output subsystems in which outgoing interactions pass through the measurement channel and are subject to bounded external disturbance. The scheme can treat the unknown strength of interactions as well as the uncertainty of subsystems.

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A Comparative Study of Parking Path Following Methods for Autonomous Parking System (자율 주차 시스템을 위한 주차 경로 추종 방법의 비교 연구)

  • Kim, Minsung;Im, Gyubeom;Park, Jaeheung
    • The Journal of Korea Robotics Society
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    • v.15 no.2
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    • pp.147-159
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    • 2020
  • Over the last years, a number of different path following methods for the autonomous parking system have been proposed for tracking planned paths. However, it is difficult to find a study comparing path following methods for a short path length with large curvature such as a parking path. In this paper, we conduct a comparative study of the path following methods for perpendicular parking. By using Monte-Carlo simulation, we determine the optimal parameters of each controller and analyze the performance of the path following. In addition, we consider the path following error occurred at the switching point where forward and reverse paths are switched. To address this error, we conduct the comparative study of the path following methods with the one thousand switching points generated by the Monte-Carlo method. The performance of each controller is analyzed using the V-rep simulator. With the simulation results, this paper provides a deep discussion about the effectiveness and limitations of each algorithm.