• 전자공학회논문지SC
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• 제44권1호
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• pp.25-32
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• 2007

본 논문은 시간 응답을 과도응답과 정상상태 응답으로 분류하여 1차의 지연시간을 포함한 공정을 동정하는 새로운 모델링 방법을 제시했다. 먼저 공정의 입.출력 데이터를 분석하여 공정의 상태를 정상상태 응답과 과도상태 응답으로 분류한다. 그 다음 최소 자승법을 사용하여 정상상태 응답은 하나의 1차의 지연시간을 갖는 공정으로 추정하고, 과도상태 응답은 여러 개의 모델로 나누어 모델링 한다. 최적의 PID 동조법으로는 지연시간을 보상하는 Smith- Predictor 구조에 성능지수 ITAE값이 최소가 되도록 설계하였다. 시뮬레이션을 통하여 다양한 공정에 대하여 본 논문에서 제안한 방법을 적용하여, 모델축소 방법의 정확성 및 제어기 성능의 개선을 보였다.

• 전자공학회논문지
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• 제50권4호
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• pp.191-202
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• 2013

이동로봇의 역학 제어기와 퍼지 데드존 보상기가 결합된 제어구조를 제안한다. 데드존 보상이 적응적이고 추적오차와 파라미터 추정치가 유계가 되는 퍼지논리 파라미터 동조알고리듬과 안정도 증명을 제시한다. 퍼지논리 데드존 보상기를 이동로봇에 시뮬레이션 및 실험함으로써 데드존의 해로운 영향을 줄이는 효과를 보여준다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 추계학술대회 논문집 학회본부 D
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• pp.703-705
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• 2000

In this paper, we design a robust adaptive controller for a nonlinear systems with uncertainties to be rejected via disturbance adaptation law. The nonlinear system considered in this paper has unknown nonlinear functions being influenced by external disturbance. The upper bounds of unknown nonlinear functions at each time is estimated by using disturbance adaptation law. The estimated nonlinear functions are used to design stabilizing function and control of input. Tuning function is used to estimate unknown system parameter without overparametrization. A set-point regulation error converges to a residual set close to zero asymptotically fast.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.999-1001
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• 1995

In this study, the algorithm of optimal parameter inference is proposed. At this inferring method, we tried to acquire the follow-up to reference pattern through comparing the plant output pattern with random reference pattern. As an inference method, the fuzzy theory was applied and the proposed algorithm was proved by computer simulation.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2001년도 전력전자학술대회 논문집
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• pp.138-141
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• 2001

This paper presents a study on successive approximation measurement of mechanical parameters for motor control system. At the first step of servo system installation, control system gain tuning is troublesome work. Recently, autotuning method of motion controller for motor drive system is based on parameter measurement and identification. On the case of first order mechanical system (mechanical parameters are modified by simple inertia and friction), it is necessary for good response to get the accurate measurement or identification of the mechanical parameters . In this paper, novel method applies the binary successive approximation measurement to the inertia and friction coefficient. Computer simulation and experiment for the proposed method will show verification of accuracy and usefulness.

• 동력기계공학회지
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• 제13권6호
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• pp.43-50
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• 2009

If an internal combustion engine is operated by consolidated control, the minimum fuel consumption is achieved satisfying the demanded objectives. For this, it is necessary that the engine is operated on the ideal operating line which satisfies minimum fuel consumption. In this context of view, there are many tries to achieve given object. However, the parameter in the internal combustion engines are variable and depend on the operating points. Therefore, it is necessary to cope with the uncertainties such that the optimal operating may be possible. From this point of view, this paper gives a controller design method and a robust stability condition for engine torque control which satisfies the given control performance and robust stability in the presence of physical parameter perturbation. Exactly, the present paper considers a robust stability of this 2DOF servosystem with nonlinear type uncertainty in the engine system, and a robust stability condition for the servosystem is introduced. This result guarantees that if the plant uncertainty is in the permissible set defined by the given condition then a gain tuning can be carried out to suppress the influence of the plant uncertainties.

• 전기학회논문지
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• 제67권10호
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• pp.1308-1316
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• 2018

Accurate tuning of parameter is very important in vector-controlled induction motor. Among the parameters of induction motor, detuning of rotor resistance used in controller design deteriorates drive performance. This paper presents a novel rotor resistance estimation strategy using slip angular velocity in vector-controlled induction motor drives. The slip angular velocity can be calculated by two methods. Firstly, it can be induced from the rotor voltage equation. Secondly, it can be induced from the difference between synchronous angular velocity and rotor angular velocity. The first method includes the rotor resistance, while the second method dose not include this parameter. From this fact, the rotor resistance can be identified by comparing the slip angular velocities in the two methods. In the tuned states of the rotor resistance, performances of flux estimator and speed drive are discussed. The simulation and experimental results are given to verify the validity of the proposed method in various situations.

• Journal of Power Electronics
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• 제14권5호
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• pp.1008-1027
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• 2014

An electric scooter with a V-belt continuously variable transmission (CVT) driven by a permanent magnet synchronous motor (PMSM) has a lot of nonlinear and time-varying characteristics, and accurate dynamic models are difficult to establish for linear controller designs. A PMSM servo-drive electric scooter controlled by a novel hybrid modified recurrent Legendre neural network (NN) control system is proposed to solve difficulties of linear controllers under the occurrence of nonlinear load disturbances and parameters variations. Firstly, the system structure of a V-belt CVT driven electric scooter using a PMSM servo drive is established. Secondly, the novel hybrid modified recurrent Legendre NN control system, which consists of an inspector control, a modified recurrent Legendre NN control with an adaptation law, and a recouped control with an estimation law, is proposed to improve its performance. Moreover, the on-line parameter tuning method of the modified recurrent Legendre NN is derived according to the Lyapunov stability theorem and the gradient descent method. Furthermore, two optimal learning rates for the modified recurrent Legendre NN are derived to speed up the parameter convergence. Finally, comparative studies are carried out to show the effectiveness of the proposed control scheme through experimental results.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1377-1379
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• 1996

In this paper, each parameter was identified by the gradient descent method to overcome difficulty deciding fuzzy rules of FLC for the unknown process and the type of membership Junctions. Usually PID or optimal control theories have been mostly usee in control field so far. However, optimal control requires much time for calculation because of adaptation for disturbance and nonlinearity. And intricate technique such as MRAS which can be realized only by an expert are limited to be used in the systems requiring rapid and precise response because of comparatively longer calculating time and complicateness. Gradient descent method is a method to find Z minimizing a function about a certain vector Z. And required output of FLC is gained using gradient approaching method in order to adapt control rule parameters of FLC. Simulation proved validation of this algorithm.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2000년도 춘계종합학술대회
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• pp.378-385
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• 2000

산업 현장에서 제어 시스템은 l-PD와 PID 제어시스템을 널리 이용된다. 고정밀, 고정도의 위치 제어 시스템에서는 부하변동이나 외란에 의한 제어대상의 파라메타 변동에 따라 제어하기가 어렵다. 목표치 주종에 대해서 PID제어기의 파라메타 값을 설정하면 외란에 대해여 파라메타 설정에 난조가 발생하므로 목표치 추종성능과 외란제거에 강인하게 제어하기가 어렵다. 본 논문에서는 목표치 추종에 대해서 PID 제이기의 파라메타 간을 설정하면 외란에 대해여 파라메타 설정에 날조가 발생하므로 목표치 추종성능과 외란제거에 모두 만족하는 강인성제어에 용이한 2자유도 PID 제어기를 제안하고 그 제어기의 파라메타($\alpha$,$\beta$,${\gamma}$,η)을 신경망 역전파 알고리즘을 이용하여 투닝하므로서 신경망에 의한 2자유도 PID의 각 파라메타를 조정하여 직류 서보 전동기의 위치제어계에서 강인한 제어성능을 고찰하도록 하였다. 신경망 2자유도 PID제어기를 제안하여 제어성능을 컴퓨터 시뮬레이션으로 그 성능을 검토하였다.