• 대한전자공학회논문지
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• 제22권3호
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• pp.31-42
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• 1985

DC motor를 제어하기 위하여, 두개의 feedback sensor 즉, potenfiometer와 tachometer를 사용하고 있다. 최적 제어치를 얻기위한 제어 방법으로써 선형계로써는 kalman regular type, 비 선형계로써는 on-off relay-type와 상태 제환을 적용하였다. 역시, 추적각의 측정 방법으로서는. 측정치를 이웅한 위치와 속도 미분치를 이용한 위치와 속도, 그리고 관측기를 이용한 위치, 속도와 오제곱 분산치를 추정하여 추적각의 제어치를 비교 분석하였다.

• Journal of Electrical Engineering and Technology
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• 제12권1호
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• pp.356-362
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• 2017

This paper presents a robust position controller for a one degree-of-freedom (DOF) mechanical system using only position measurement. In order to alleviate the performance degradation owing to various uncertainties, a two-stage design method is studied by employing a proportional integral observer (PIO). In the first stage, a baseline backstepping controller is designed for a nominal system without accounting for uncertainties. The PIO is developed for estimating both the velocity information for the backstepping controller and an equivalent input disturbance for a feedforward compensation using the estimated uncertainty. It is shown that the estimation errors with the proposed PIO can be made arbitrarily small in a finite time. If the system suffers from undesirable actuator nonlinearities, however, it might be necessary to estimate the velocity and the disturbance with different rates of convergence. The proposed method combines the predesigned backstepping controller and dual PIOs to reduce mechanical vibrations as well as steady-state errors. The performance of the proposed method is tested through comparative computer simulations and experiments using a laboratory prototype.

• 한국전자통신학회논문지
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• 제15권5호
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• pp.899-906
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• 2020

전동기의 제어에 있어서 전동기의 수학적 모델 오차와 작용하는 외란에 대해서 강건하며 정밀한 제어의 성능을 요구한다. 강건하며 정밀한 제어를 위하여 외란 관측기를 설계하여 부하변동을 추정하고, 공칭 시스템으로 설계된 백스텝핑 제어기에 적용하였다. 설계된 시스템의 제어 성능을 확인하고자 120 [W]급의 BLDCM(Brushless Direct Current Motor)에 적용하여, 위치제어 및 속도제어의 결과 외란을 극복하고 정상상태 오차가 영으로 수렴하며, 점근적 안정한 결과를 확인할 수 있다.

• 전기학회논문지P
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• 제59권2호
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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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2015년도 제46회 하계학술대회
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• pp.934-935
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• 2015

This paper presents the sensorless control method that employs the adaptive back-EMF(Electromotive Force) and current model observer of interior permanent magnet synchronous motor(IPMSM). The estimated back EMF considering a saliency is obtained by using the adaptive control method. The estimated EMF is inputted to the current model observer which is connected in series with adaptive back EMF estimator and is used to estimate the position and speed of the rotor. In order to improve the shortcomings of conventional method using the current error components multiplied in the compensation constant, the modified instantaneous reactive power compensator is applied. The validity of the control system presented is verified by the simulation.

• 대한기계학회논문집B
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• 제25권2호
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• pp.195-201
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• 2001

An inverse heat conduction problem(IHCP) arises when unknown heat fluxes and whole temperature field are to be found with temperature measurements of a few points. In this paper, observers are proposed as solution algorithm for the IHCP. A 1-dimensional heat transfer problem is modeled with modal analysis and state space equations. Position of the heat source is estimated through test heat inputs and the autocorrelation among a few of temperature data. The modified Bass-Gura method is used to design a state observer to estimate the intensity of heat source and the whole temperature field of a 1-dimensional body. To verify the reliability of this estimator, analytic solutions obtained from the proposed method are compared.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2005년도 전력전자학술대회 논문집
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• pp.215-219
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• 2005

In this paper, a novel motor control method is proposed to improve the performance of sensorless drive of BLDC motors. The unknown input (back-EMF) is modelled as the additional state of system in this paper. Taking into account the disturbance adopted by the back-EMF, the observer can be obtained by the augmented system equation. An algorithm to detect the back-EMF of the BLDC motor using the state observer is constructed. As a result, the novel sensorless drive of BLDC motors that can strictly estimate rotor position and speed is proposed.

• 한국항해항만학회지
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• 제36권10호
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• pp.865-871
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• 2012

수중 방파제 피복작업은 사석의 유실을 방지하기 위해 방파제 겉면에 2-3ton의 돌을 쌓는 작업으로 현재 잠수부에 의해 수작업으로 시공을 하고 있다. 수중에서의 사야문제와 작업의 특성상 잠수부의 육감에 의해 공사가 시행되며 작업 과정에서 산업재해가 빈번히 발생한다. 이러한 문제점을 해결하기 위해 본 논문에서는 수중 방파제 피복작업을 위한 수중항만공사 로봇을 개발하였다. 로봇의 유압 실린더 제어를 위해 위치 센서가 필요한데 기존 센서는 구동축에 부착되어 방수가 어렵고 건설현장에서 사용하기에는 내구성이 좋지 못하다. 하지만 압력센서는 유압라인상의 임의의 위치에 부착이 가능하므로 방수박스 내부에 설치할 수 있어 방수가 용이하고 내구성을 높일 수 있다. 따라서 본 논문에서는 압력센서를 이용하여 수중항만공사 로봇의 유압 실린더 변위를 간접적으로 측정하는 관측기를 설명한다.

• 한국정밀공학회지
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• 제25권12호
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• pp.89-99
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• 2008

In this paper, the position tracking control problem of the servo system with nonlinear dynamic friction is issued. The nonlinear dynamic friction contains a directly immeasurable friction state variable and the uncertainty caused by incomplete parameter modeling and its variations. In order to provide the efficient solution to these control problems, we propose the composite control scheme, which consists of the robust friction state observer, the FNN approximator and the approximation error estimator with sliding mode control. In first, the sliding mode controller and the robust friction state observer is designed to estimate the unknown internal state of the LuGre friction model. Next, the FNN estimator is adopted to approximate the unknown lumped friction uncertainty. Finally, the adaptive approximation error estimator is designed to compensate the approximation error of the FNN estimator. Some simulations and experiments on the servo system assembled with ball-screw and DC servo motor are presented. Results show the remarkable performance of the proposed control scheme. The robust friction state observer can successfully identify immeasurable friction state and the FNN estimator and adaptive approximation error estimator give the robustness to the proposed control scheme against the uncertainty of the friction parameters.

• 전기학회논문지
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• 제60권10호
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• pp.1915-1923
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• 2011

For automated guidance control of a magnetically guided-all wheel steered vehicle, it is necessary to have information about position and orientation of the vehicle, and deviations from the reference path in real time. The magnet reference system considered here consists of three magnetic sensors mounted on the vehicle and magnetic markers, which are non-equidistantly buried in the road. This paper presents an observer to estimate such position and orientation at the center of gravity of the vehicle. This algorithm is based on the simple kinematic model of vehicle and uses the data of wheel velocity, steering angle, and the discrete measurements of marker positions. Since this algorithm requires the exact values of initial states, we have also proposed an algorithm of determining the initial position and orientation from the 16 successive magnet pole data, which are given by the magnetic measurement system(MMS). The proposed algorithm is capable of continuing to estimate for the case that the magnetic sensor fail to measure up to three successive magnets. It is shown through experimental data that the proposed algorithm works well within permissible error range.