• Title/Summary/Keyword: variable parameter

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Model Reference Adaptive Pole-Placement Controller of Nonminimum Phase systems (비최소 위상 시스템에 대한 기준 모델 적응 폴-플레이스먼트 제어기)

  • 김종환;최계근
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.22 no.6
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    • pp.89-96
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    • 1985
  • A pole-placement control of discrete, deterministic, single-input single-output nonmini-mum phase systems is considered using a model reference type approach. The proposed pole-placement controller is designed in the parameter form to make the transfer function of the controller equal to that of the reference model with only single variable polynomial S(q-1). The proposed adaptive pole-placement controllr is designed with the true system para-meters by applying the adaptation method to the proposed pole-placement controller.

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Efficient Search Method of Deperming Protocol for Magnetic Silence of Vessel

  • Kim, Jong-Wang;Kim, Sang-Hyun;Kim, Ji-ho;Lee, Hyang-Beom;Chung, Hyun-Ju
    • Journal of Magnetics
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    • v.22 no.1
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    • pp.85-92
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    • 2017
  • This research is proposed with the efficient searching method of deperming protocol for magnetic silence. The deperming protocol has been changed depending on the initial magnetic field, the final magnetic field, and the shot number, so deciding parameter is highly important. Therefore, in this paper, the value of the initial magnetic field is supposed to be fixed to that of the saturation field, and excluding the initial magnetic field in the variable, the deperming protocol has been analyzed depending on the final magnetic field and the change of the shot number. In the result of this experiment, the final magnetic field gets high performance to the reverse of the direction of the initial magnetization, and it is resulted that the shot number inverse proportion to the size of the final magnetic field.

Design and Characteristic Analysis of Moving Magnet Type Linear Oscillatory Actuator with Spring Damper (스프링 댐퍼를 이용한 가동 자석형 리니어 진동 엑추에이터의 설계 및 특성해석)

  • 조성호;김덕현;김규탁
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.52 no.1
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    • pp.9-15
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    • 2003
  • This Paper deals with the design of Moving Magnet type Linear Oscillatory Actuator(MM-LOA) using spring damper based on the design procedure and the characteristic analysis. MM-LOA is applied to variable load such as vaccum pump and compressor, The structure of piston type is selected to reduce a noise. MM-LOA has over-displacement in starting state because of the low inertia of mover To improve the starting characteristic, spring damper is used. The optimum spring constant of spring damper is detected and in consideration of spring damper, MM-LOA redesigned. The parameter is calculated by Finite Element Method(FEM). For the dynamic characteristic analysis, time differential method composed of voltage and kinetic equation is used. The propriety of the improved model is verified through the experimental results.

Adaptive cubic convolution scaler using variable kernel length (적응적인 가변 커널 길이의 Cubic Convolution Scaler를 이용한 화면 해상도 변화기)

  • Jeong, Yeon Kyeong;Moon, Ji hye;Han, Jong Ki
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.11a
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    • pp.12-15
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    • 2013
  • 최근 UHD TV 출시와 HD급 영상의 보편화로 영상에 대한 해상도 변경 기술의 중요성이 높아지고 있다. 본 논문에서는 기존의 cubic convolution 기법을 응용하여, 영역별 특성에 따라 적응적인 가변 커널 길이의 cubic convolution으로 화면 해상도를 변환하는 기법을 제안한다. 제안하는 기법은 영상의 화질을 개선시키면서도 상황에 따라 하드웨어의 line memory를 절약할 수 있도록 설계를 하여 화질 개선뿐만이 아니라 하드웨어적으로도 더 효율적으로 사용이 가능하다. 또 tuning parameter 를 최적화 하는 방법을 통해 기존의 cubic convolution 기법보다 더 좋은 화질의 영상을 얻을 수 있다.

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Robust System Identification Algorithm Using Cross Correlation Function

  • Takeyasu, Kazuhiro;Amemiya, Takashi;Goto, Hiroyuki;Masuda, Shiro
    • Industrial Engineering and Management Systems
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    • v.1 no.1
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    • pp.79-86
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    • 2002
  • This paper proposes a new algorithm for estimating ARMA model parameters. In estimating ARMA model parameters, several methods such as generalized least square method, instrumental variable method have been developed. Among these methods, the utilization of a bootstrap type algorithm is known as one of the effective approach for the estimation, but there are cases that it does not converge. Hence, in this paper, making use of a cross correlation function and utilizing the relation of structural a priori knowledge, a new bootstrap algorithm is developed. By introducing theoretical relations, it became possible to remove terms, which is liable to include much noise. Therefore, this leads to robust parameter estimation. It is shown by numerical examples that using this algorithm, all simulation cases converge while only half cases succeeded with the previous one. As for the calculation time, judging from the fact that we got converged solutions, our proposed method is said to be superior as a whole.

A Analysis on the Effect of the Controller Design due to Performance Index (평가지표에 따른 제어기 설계 영향 분석)

  • Yoo, Hang-Youal;Lee, Jung-Kuk;Lee, Keum-Won;Lee, Jun-Mo
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2004.05a
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    • pp.90-94
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    • 2004
  • Among various modern control theories, PID control has been well used for several decades. PID algorithms needs son tuning methods are used for selecting PID parameters. But in some cases various kinds of performance indices are used instead of well-known tuning rules, and so variable type of performance index must be tested so that controllers, output characteristics and disturbance rejection property meets some specifications. In this paper, linear conbinational type of performance using error signal, time, control input and robustness is used to the PID control of air conditioning system. By the 2 DOF PID parmeters minimizing perfromacne index, controllers, output characteristics and robustness properties are analyzed. Simulations are done with MATLAB m file and mdl files.

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Adaptive Sliding Mode Observer for the Control of Switched Reluctance Motors without Speed and Position Sensors (적응 슬라이딩 모드 관측기를 이용한 SRM의 속도 및 위치 센서 없는 제어)

  • Shin, Jae-Hwa;Yang Iee-Yoo;Kim, Young-Seok
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.49 no.11
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    • pp.763-770
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    • 2000
  • The speed and position information of the rotor are required in the speed control of SRM(Switched Reluctance Motors). This information is generally provided by shaft encoder or resolver. It is weak in the dusty, high temperature, and EMI environment. Consequntly, much attention has been given to SRM control for eliminationating the position and speed sensors. In this paper, a new estimation algorithm for the rotor position and speed for SRM drives is described. The algorithm is implemented by the sliding mode observer. The stability and robustness of the sliding observer for the parameter variations of the SRM are proved by variable structure control theory. Speed control of the SRM is accomplished by the estimated speed and position. Experiment results verify that the mode observer is able to estimate the speed and position well.

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Design of a CDBC Using Multirate Sampling (Multirate 샘플링을 이용한 CDBC의 설계)

  • 김진용;김성열;이금원;이준모
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.141-144
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    • 2003
  • This paper proposes a design method of a CDBC(Continuous-time Deadbeat Controller)system that takes into account the response between the sampling instant and using second-order smoothing elements. The continuous deadbeat controller is composed of a serial integral compensator and a local feedback compensator introduced into the state feedback loop. A DC servo motor is chosen for implementing CDBC algorithm. Especially according to the variable input and disturbance, corresponding CDBC design method is suggested. A Matlab Simulink is used for simulation with the Motor parameter. By computer simulations, control inputs and system outputs are shown to have desirable property such as smoothness.

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Neural Network Learning Algorithm for Variable Structure System (가변구조 시스템을 위한 신경회로망 학습 알고리즘)

  • Cho, Jeong-Ho;Lee, Dong-Wook;Kim, Young-T.
    • Proceedings of the KIEE Conference
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    • 1996.11a
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    • pp.401-403
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    • 1996
  • In this paper, a new control strategy is presented that combines sliding mode control theory with a neural network. Sliding mode control theory requires the complete knowledge of the dynamics of the controlled system. However, in practice, one often bas only a small number of state measurements. This could be a serious limitation on the practical usefulness of sliding mode control theory. A multilayer neural network is employed to solve this kind of problem. The neural network serves as a compensator without a prior knowledge about the system. The proposed control algorithm is applied to a class of uncertain nonlinear system. The robustness against parameter uncertainty, nonlinearity and external disturbances, and the effectiveness is verified by the simulation results.

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Robust control of robot manipulators (로봇 매니퓰레이터의 강인한 제어)

  • Yi, Hyung-Kyi;Yi, Moon-No;Chung, Myung-Jin
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.380-382
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    • 1993
  • In this paper, we derive a simple robust nonlinear control scheme for n-link robot manipulators subject to parameter uncertainty. By using the theory of variable structure system(VSS) and taking advantage of the important property of the robot dynamics, the stability of the derived control scheme is proved. This scheme utilizes the desired trajectory outputs, which can be calculated a priori, instead of the actual joint outputs in the nonlinear compensation controller. So the amount of on-line calculations is largely reduced, and as a result, this scheme can be implemented much more efficiently.

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