• International Journal of Control, Automation, and Systems
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• 제3권spc2호
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• pp.302-307
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• 2005

A novel neuro controller based simple neuro-structure with modified error function is introduced in this paper. This controller consists of two independent controllers, known as the voltage regulator and the angular controller. The voltage regulator is used to modify terminal voltage for the purpose of tracking a reference voltage. The angular controller is utilized to guarantee the stability of the system. In this structure each neuron uses a linear hard limit activation function that depends on the controlled variable and its derivatives. There is no need for parameter identification or any off-line training data. Two proposed controllers are merged by a smooth switch to build a complete controller. The effectiveness of the proposed novel control action is demonstrated through some computer simulations on a Single-Machine Infinite-Bus (SMIB) power system.

• 대한기계학회논문집
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• 제19권1호
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• pp.111-121
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• 1995

A fuzzy control algorithm of bell-type membership functions and 9 rules is constructed for narrow range level control of steam generators in nuclear power plants. It is implemented at a field digital distributed controller, a Westinghouse-made controller called Westinghouse Distributed Processing Family(WDPF). Performance for level control of the developed fuzzy controller is compared with that of conventional controller, both at the field controller. For these comparisons, both the fuzzy control algorithm and the conventional PI control algorithm were carefully tuned. Also the sampling time for optimal performance was investigated. The results show that the fuzzy control algorithm is not only better in performance than the conventional algorithm but also much easier to be tuned by operators in the field.

• 융합신호처리학회논문지
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• 제2권1호
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• pp.88-94
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• 2001

In the position control system, the output of a controller is generally used as the input of a plant but the undesired noise is included in the output of a controller. Therefore, there is a need to use a precompensator for rejecting the undesired noise. In this paper, the expanded PID controller with a precompensator is constructed. The precompensator and PID controller are designed by a neural network with two-hidden layer and these coefficients are changed automatically to be a desired response of system when the response characteristic is changed under a condition.

• 제어로봇시스템학회논문지
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• 제10권2호
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• pp.178-184
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• 2004

In this paper, we designed an image processing system for the high speed line-scan camera which adopts the new memory model we proposed. As a resolution and a data rate of the line-scan camera are becoming higher, the faster image processing systems are needed. But many conventional systems are not sufficient to process the image data from the line-scan camera during a very short time. We designed the memory controller which eliminates the time for transferring image data from the line-scan camera to the main memory with high-speed SRAM and has a dual-port configuration therefore the DSP can access the main memory even though the memory controller are writing the image data. The memory controller is implemented by VHDL and Xilinx SPARTAN-IIE FPGA.

• 융합신호처리학회논문지
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• 제3권1호
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• pp.54-60
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• 2002

본 논문에서는 신경망제어기의 출력을 보상하는 퍼지보상기를 갖는 신경망-퍼지 하이브리드 제어기에 관하여 제안하였다. 학습이 완료된 신경망제어기를 사용하더라도 예상치 못한 외란으로 인해 플랜트의 출력이 좋지 못한 경우가 있는데, 이것을 적절하게 조절해 주기 위해 퍼지보상기를 사용하여 원하는 결과를 얻을 수 있도록 하였다. 그리고 플랜트의 역모델 신경망을 학습시킨 결과를 이용하여 주 신경망의 가중치를 변경시킴으로서 원하는 플랜트의 동적 특성을 얻게 된다. 2차 플랜트를 통한 모의실험 결과, 제안한 속도제어기가 신경망제어기보다 더 좋은 응답 특성을 가짐을 확인할 수 있다. 제안한 속도제어기의 성능을 확인하기 위해 유압 서보시스템을 대상으로 DSP 프로세서를 사용하여 구현한 후 실험 결과를 관찰하였다.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2006년도 하계 학술대회 논문집
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• pp.85-88
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• 2006

Many control techniques have been proposed in order to improve the control performance of the discrete-time domain control system. In the position control system, the output of a controller is generally used as the input of a plant but the undesired noise is include in the output of a controller. In this paper, the neuro-network 2-DOF PID Controller is designed by a neural network and the gains of this controller are adjusted automatically by the back-propagation algorithm of the neural network when the response characteristic of system is changed under a condition.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2003년도 하계학술대회 논문집
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• pp.205-208
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• 2003

본 논문에서는 현재 산업현장에서 사용되고 있는 유선 콘트롤러와 무선 콘트롤러의 문제점을 보완하기 위해 컨볼루션 부호와 CRC부호를 적용한 무선 콘트롤러를 구현하였다. 콘트롤러의 제어를 위해 마이크로프로세서를 이용하였으며, 송수신 프로그램에 컨볼루션 부호를 적용하였을 때와 적용하지 않았을 때의 각각의 경우에 데이터 수신율을 테스트하여 비교해 보았다. 무선 콘트롤러의 신뢰도 향상을 위해 적용한 컨볼루션 부호는 구속장 k=3, 부호율 1/2인 부호를 사용하였고, CRC 부호는 POLYNOMIAL함수를 /Χ$^{15}$ ＋Χ$^{2}$＋1로 사용하여 총 CRC비트는 16비트(2바이트)가 되게 하였다.

• 융합신호처리학회논문지
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• 제10권2호
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• pp.146-150
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• 2009

An Intelligent active roll angle controller design algorithm is discussed. The detailed mathematical formulation and analysis are discussed, and then modeling and design method for active roll angle controller are presented. This paper proposes a design method based upon intelligent robust controller design algorithm to control actively roll angle for improving cornering performance problems. The intelligent robust controller is designed for steady speed driving vehicle system model with representation of steering angle and yaw angular velocity parameters for cornering stability. And the detailed formulation and analysis for the objective vehicle system are investigated.

• Journal of Biosystems Engineering
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• 제25권4호
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• pp.301-310
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• 2000

An autonomous tractor system was developed and its performance was evaluated. The system consisted of a tractor system of and a remote control station. The tractor and the remote control station communicated each other via wireless modems. The tractor had a DGPS(differential global positioning system), sensors, a controller and a modem. The DGPS collected position data and the tractor status was estimated. The information of tractor status and sensors was transferred to the remote control station. Then, the control station determined the control data such as steering angles using a fuzzy controller. The fuzzy controller used the information from the DGPS, sensors, and GIS(geographic information system) data. The control data were obtained by remote signal processing at the control station The control data for autonomous operation were transferred to the tractor controller. The performances of an autonomous tractor were evaluated for various speeds, different initial positions and different initial headings. About 1.3 seconds of time lag was occurred in transferring the tractor status data and the control data. Compensation the time lag, about 27cm deviation was observed at the speed of 0.5m/s and 37cm at the speed of 1m/s. Error caused mainly by the time lag and it would be reduced by developing a full-duplex radio module for controlling the remote tractor.

• 수산해양기술연구
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• 제31권3호
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• pp.264-271
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• 1995

제어전용 마이크로 프로세서와 PC간에, 본 연구에서 제안하는 이중 포트 램을 이용한 병렬처리 방식으로 하드웨어를 설계 제작하고, 제어응답실험을 행한 결과 기존의 범용 A/D & D/AC 카드로 수행하기 어려웠던 2개 이상의 제어 대상을 제어하고 모니터링 하는 작업을 원활히 수행할 수 있음을 확인하였다