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장력제어 성능개선을 위한 가변 입력이득 퍼지제어알고리즘 적용에 관한 연구
설재훈,박종오,장종승,임영도,Sul, Jae-Hoon,Park, Jong-Oh,Jang, Jong-Seung,Lim, Young-Do 제어로봇시스템학회 2001 제어·로봇·시스템학회 논문지 Vol.7 No.8
In this paper, the fuzzy control with variable input gain is applied to maintain the consistent tension in the process of taking up and releasing texture. In the process of discharging web on one side rolling it on another, the take-up drum gets smaller on the release drum side as it gets bigger on the rolling side, thus it is necessary to change the balance of velocity between the sides. In order to solve the problem a tension controller is necessary. The PI control method has been employed to maintain the consistent tension, but the PI control method produces a problem which requires an experienced worker with the traits of the machine, in order to perform the fine adjustments according to the environment of the process. For solving the above problem, we apply fuzzy control to the tension system, in order to produce a uniform roll. For the performance test, the fuzzy controller does not need to revise the parameters. Therefore the fuzzy controller exhibits an excellent additivity for the tension system where the system is changed with time.
MATLAB을 이용한 자동차 엔진모델 설계 및 시뮬레이션
장종승,설재훈,김승철,임영도 東亞大學校 附設 情報通信硏究所 1997 情報通信硏究所論文誌 Vol.5 No.1
Detailed model of longitudinal dynamics of a typical automobile is developed. A nonlinear controller is designed for speed control of the automobile. This paper discribes the first step of a vehicle model design which designs a engine model. The design of a vehicle engine designs Matlab Simulink, and control which is compared describes characteristics be using Fuzzy and PID.
Fuzzy Neural Network을 이용한 고주파 유도 부하의 온도제어기 구성
장종승,강신출,임영도 東亞大學校 附設 情報通信硏究所 1996 情報通信硏究所論文誌 Vol.4 No.1
This paper deals with the temperature control of High-Frequency Induction Heating System using a Neuro-Fuzzy controller. We construct a membership function from of fuzzy controller according to the change of temperature for a proper control signal. The defuzzification is replaced by MLP using function approximation, and a data for an learning of defuzzification is obtained by using a general inferance method. We implemented a real-time experiment evaluating the performance of a neuro-fuzzy controller which is designed in this paper.
보상형 PID 재어기를 이용한 DC-서보모터의 속도 제어 시뮬레이션
박윤명,장종승,추연규,임영도 東亞大學校 附設 情報通信硏究所 1999 情報通信硏究所論文誌 Vol.7 No.1
본 논문은 Fuzzy Logic Controller를 이용하여 입력을 보상한, 보상형 PID 제어기를 제안한다. 이 제어기를 사용하여 DC-서보모터의 속도제어 특성을 조사하고, 단순 PID 제어기와 비교하여 제안한 제어기의 성능을 평가하였다. 성능 평가 방법은 MATLAB을 이용하여 DC-Servo Motor와 유사한 가상 플랜트를 설정하고, 부하 및 무부하시의 보상형 PID제어기와 단순 PID 제어기의 속도제어 성능을 모의 실험하였다. 모의 실험 결과 보상형 PID 제어기의 성능이 더 우수한 것으로 나타났다.
퍼지 제어기 소속함수의 추정을 위한 진화프로그래밍 이용에 관한 연구
김승철,장종승,강신출,임영도 東亞大學校 附設 情報通信硏究所 1996 情報通信硏究所論文誌 Vol.4 No.1
On this paper, the design of fuzzy adaptive controller using an evolution programming combining fuzzy controller to be very effectove in the optimization problem will be proposed. On a proposing control structure, the optimization takes uncertain plants optimized membership function using EP, and we want to take an adaptive controller in the plant as well be adapted control structure to initiate approximate membership function in fuzzy. We show that proposed controller have a good performance than general fuzzy controller through a computer simulation and the real-time control of DC serve motor.
설재훈,정영호,장종승,임영도,최부귀 東亞大學校 附設 情報通信硏究所 1998 情報通信硏究所論文誌 Vol.6 No.1
In this paper, we apply the controller output error method to the adaptive fuzzy control design. This method employs a gradient descent algorithm to minimize a error function which is beased on the error at the controller output. This contrasts with more conventional methods which use the error at the plant output. The error function is minimized by adapting some or allof the parameters of the fuzzy controller. In this paper, we propose to revise the consequent parameter. The proposed adaptive fuzzy controller is applied to the adaptive control of a nonlinear plant and is shown to be capable of providing good overall system performance.