• 조명전기설비학회논문지
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• 제25권7호
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• pp.15-25
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• 2011

This proposes an online loss minimization algorithm for series PI(SPI) based interior permanent magnet synchronous motor(IPMSM) drive to yield high efficiency and high dynamic performance over wide speed range. The loss minimization algorithm is developed based on the motor model. In order to minimize the controllable electrical losses of the motor and thereby maximize the operating efficiency, the d-axis armature current is controlled optimally according to the operating speed and load conditions. For vector control purpose, a SPI is used as a speed controller which enables the utilization of the reluctance torque to achieve high dynamic performance as well as to operate the motor over a wide speed range. Also, this paper proposes current control of model reference adaptive fuzzy controller(MFC), and estimation of speed using artificial neural network(ANN) controller. The proposed efficiency optimization control, SPI, MFC, ANN in this paper is applied to IPMSM drive system, the validity of this paper is proved by analyzing response characteristics in variety operating conditions.

• 대한전기학회논문지:시스템및제어부문D
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• 제51권12호
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• pp.562-570
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• 2002

The Purpose of this paper is to design and manufacture an educational system in order to demonstrate the causes and effects of electromagnetic induction.'rho educational system described in this study is a "jumping ring apparatus". This system demonstrates the principle of electromagnetic induction, a force from AC sources, Lenz's law of repulsion and transformer. The educational system is composed of a jumping ring apparatus, a sensor array, encoder, A/D converter, D/A converter and nonlinear controller. The educational system is controlled by 586 PC using Turbo C program. The sensor array is composed of 20 optical sensors. The nonlinear controller consists of nonlinear control algorithm and control board included SCR, FET and phase controller. The A/D converter is used to show the height of ring position to analog for an education purpose. The control signal calculated from the nonlinear control of algorithm send control board through 8 bit D/A convertor. Experiment results are given to verify that Proposed nonlinear controller is useful in on line control of the educational system.al system.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제1권1호
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• pp.29-34
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• 2001

This paper is devoted to investigating direct adaptive neural control of nonlinear systems with uncertain or unknown dynamic models. In the direct adaptive neural networks control area, theoretical issues of the existing backpropagation-based adaptive neural networks control schemes. The major contribution is proposing the variable index control approach, which is of great significance in the control field, and applying it to derive new stable robust adaptive neural network control schemes. This new schemes possess inherent robustness to system model uncertainty, which is not required to satisfy any matching condition. To demonstrate the feasibility of the proposed leaning algorithms and direct adaptive neural networks control schemes, intensive computer simulations were conducted based on the flexible joint robot systems and functions.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권4호
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• pp.333-338
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• 2005

This paper presents the target object search algorithm under Dynamic Programming (DP) in the Tree-type maze. We organized an experimental environment with the concatenation of Y-shape diverged way, small mobile robot, and a target object. By the principle of optimality, the backbone of DP, an agent recognizes that a given whole problem can be solved whether the values of the best solution of certain ancillary problem can be determined according to the principle of optimality. In experiment, we used two different control algorithms: a left-handed method and DP. Finally we verified the efficiency of DP in the practical application using our real robot.

• 한국지능시스템학회논문지
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• 제8권2호
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• pp.50-59
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• 1998

This paper presents stabilization and adaptive control of flexible single link robot manipulator system by self-recurrent neural networks that is one of the neural networks and is effective in nonlinear control. The architecture of neural networks is a modified model of self-recurrent structure which has a hidden layer. The self-recurrent neural networks can be used to approximate any continuous function to any desired degree of accuracy and the weights are updated by feedback-error learning algorithm. When a flexible manipulator is rotated by a motor through the fixed end, transverse vibration may occur. The motor toroque should be controlled in such a way that the motor rotates by a specified angle, while simultaneously stabilizing vibration of the flexible manipuators so that it is arresed as soon as possible at the end of rotation. Accurate vibration control of lightweight manipulator during the large changes in configuration common to robotic tasks requires dynamic models that describe both the rigid body motions, as well as the flexural vibrations. Therefore, a dynamic models for a flexible single link robot manipulator is derived, and then a comparative analysis was made with linear controller through an simulation and experiment. The results are proesented to illustrate thd advantages and imporved performance of the proposed adaptive control ove the conventional linear controller.

• 한국산학기술학회논문지
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• 제13권12호
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• pp.6034-6039
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• 2012

본 논문에서는 모바일 로봇이 이동함에 있어 경사면을 만났을 경우 이를 극복하여 주행하는 경우가 발생할 수 있는데 이때 모바일 로봇 시스템 자체가 가지고 있는 슬립 문제가 주행을 진행함에 있어서 더욱 심하게 나타날 수 있기에 이를 해결하고 목표점까지의 안전한 직진 주행을 하기위한 모델 적응 퍼지 제어 방법을 기반으로 하는 모바일 로봇의 주행 제어 알고리즘을 제안하고자 한다. 제안하고자 하는 모델 기반 적응 퍼지 제어기의 경우 먼저, 모바일 로봇의 등반 조건을 확인한 후 경사면을 모바일 로봇이 극복 주행을 할 수 있는지를 판단하고 만약 가능하다면 모바일 로봇의 동역학 모델을 포함한 모델 기반 제어기를 설계하여 극복 주행 제어를 하고자 한다. 이러한 경우 모바일 로봇 시스템의 안정성 보장 및 지면 마찰력 그리고 외란 보상 등이 충분히 고려된 제어기 설계가 가능할 것이다. 또한, 설계하고자 하는 제어 기법 중 적응 퍼지 제어 방법의 경우 모바일 로봇의 동특성을 충분히 반영한 모델인 비선형 Non-holonomic 시스템과 모바일 로봇의 슬립 문제 해결 등에 충분히 유용할 것이고 이를 컴퓨터 시뮬레이션을 통해 검증하였다.

• 한국지능시스템학회논문지
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• 제8권6호
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• pp.37-47
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• 1998

본 논문은 진화 연산 알고리즘과 퍼지 로직을 이용하여 고속 열처리 공정기의 웨이퍼 온도를 제어하는 제어기 설계 방법을 제안한다. 전체 제어기는 기준 온도의 정상 상태의 추종을 위한 앞먹임 정적 제어기, 과도 상태의 추종을 위한 앞먹임 동적 제어기, 그리고 온라인 상에서 모델링 오차나 외란을 극복하기 위한 되먹임 오차 제어기로 구성된다. 앞먹임 제어기들은 퍼지 로직을 이용하여 모든 동작점에서 제어 입력을 구해주는 전역적 비선형 제어기로 구성된다. 각 제어기들의 제어 파라미터는 진화 연산 알고리즘을 이용하여 추정되므로 수학적 모델식을 모르는 경우에도 제어기를 설계할 수 있는 장점이 있다. 끝으로 모의 실험을 통하여 제어기의 성능을 검증한다.

• 한국항공우주학회지
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• 제42권3호
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• pp.237-242
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• 2014

항공기용 터보팬 엔진의 성능이 이륙과 같이 급격하게 변하는 상황일 때 압축기에서 서지현상이 발생할 수 있는데, 본 논문에서는 이를 방지하는 것을 목적으로 한다. 제안된 시스템은 연료유량을 개루프 명령으로 생성하고, 가변 안내익을 폐루프로 설계하여 터보팬 엔진에 대한 제어시스템을 고전적인 PID제어기와 퍼지 추론 기법을 적용하여 설계하였다. 시뮬레이션은 SIMULINK를 이용하였는데, 제어로직 구성을 위한 동역학적 모델링은 NPSS(엔진해석프로그램)와 SIMULINK를 연동시켜주는 SIMUNLINK BLOCK인 NPSS S-function을 설계하여 이용하였다. 그리고 시뮬레이션 결과로 PID와 Fuzzy 모든 방법에 있어 VIGV의 제어결과로 서지현상을 방지할 수 있음을 증명하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권1호
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• pp.24-30
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• 2008

A simulation of hot strip finishing mill automatic gauge control (AGC) system is built, which is divided into four modules such as rolling mill system, AGC module, looper system and strip model. The rolling mill system is built by mechanism modeling, the looper system and strip model are built by function modeling, and the AGC model is tried to use intelligent control of a multi-function AGC system. The target is attempted to use this simulation object to minimize finisher exit strip thickness deviation resulting from strip entry thickness disturbance and rolling force deviation. Simulation results show that the result of this AGC/LPC synthetical system module simulation is quite close to the actual result. The simulation system can also analyze most kinds of disturbance which affect the rolling process. It is proved that the system can represent practical situation of hot strip finishing mill process control, and be used as a basic platform of research and development for researcher and engineer.

• 조명전기설비학회논문지
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• 제24권9호
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• pp.26-35
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• 2010

The maximum output torque developed by the machine is dependent on the allowable current rating and maximum voltage that the inverter can supply to the machine. Therefore, to use the inverter capacity fully, it is desirable to use the control scheme considering the voltage and current limit condition, which can yield the maximum torque per ampere over the entire speed range. This controller is controlled speed and current using hybrid PI(HBPI) controller and estimation of speed using ANN. Also, this paper is proposed maximum torque control of induction motor using slip angular speed and current condition at widely speed range. The performance of the proposed induction motor drive with maximum torque control using HBPI controller is verified by analysis results at dynamic operation conditions.