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- 저자 : 이경웅(Kyoung-Woong Lee) (검색결과 5 건)
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이경웅(Kyoung-Woong Lee),최한수(Hansoo Choi) 제어로봇시스템학회 2011 제어·로봇·시스템학회 논문지 Vol.17 No.9
This paper presents a TS (Takagi-Sugeno) type FLC (Fuzzy Logic Controller) with only 3 rules. The choice of parameters of FLC is very difficult job on design FLC controller. Therefore, the choice of appropriate linguistic variable is an important part of the design of fuzzy controller. However, since fuzzy controller is nonlinear, it is difficult to analyze mathematically the affection of the linguistic variable. So this choice is depend on the expert’s experience and trial and error method. In the design of the system, we use a variety of response characteristics like stability, rising time, overshoot, settling time, steady-state error. In particular, it is important for a stable system design to predict the steady-state error because the system"s steady-state response of the system is related to the overall quality. In this paper, we propose the method to choose the consequence linear equation’s parameter of T-S type FLC in the view of steady-state error. The parameters of consequence linear equations of FLC are tuned according to the system error that is the input of FLC. The full equation of T-S type FLC is presented and using this equation, the relation between output and parameters can represented. As well as the FLC parameters of consequence linear equations affect the stability of the system, it also affects the steady-state error. In this study, The system according to the parameter of consequence linear equations of FLC predict the steady-state error and the method to remove the system"s steady-state error is proposed using the prediction error value. The simulation is carried out to determine the usefulness of the proposed method.
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이경웅(Kyoung-Woong Lee),최한수(Hansoo Choi) 제어로봇시스템학회 2011 제어로봇시스템학회 국내학술대회 논문집 Vol.2011 No.5
Analysis and design of FLC is difficult for the its nonlinear characteristic. Therefore, when designing the FLC relies heavily on experts’ knowledge and response characteristics and stability of the system is difficult to predict and the mathematical representation is not easy. The mathematical analysis on consequent Part variable to FLC response to changes is easier then the premise part of the change in response characteristics. In this paper, steady state error, one of the system’s response to predictions, including the system’s 3 rule as to the SISO Takagi-Sugeno (TS) type Fuzzy was defined as a function of output to input. Input-output function was defined that was answered by a variable defined by consequent part of FLC. Sector condition to be satisfied with steady-state error for a nonlinear system can be applied to prediction algorithm which Consequent Part of the FLC with the variable with the steady-state error relationship was expressed as a function which was verified through simulations.
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최한수(Hansoo Choi),이경웅(Kyoung-Woong Lee) 제어로봇시스템학회 2012 제어·로봇·시스템학회 논문지 Vol.18 No.12
This study proposes a method for improvement of PD type fuzzy controller. The method includes self tuner using gradient algorithm that is one of the optimization algorithms. The proposed controller improves simple Takagi-Sugeno type FLC (Fuzzy Logic Control) system. The simple Takagi-Sugeno type FLC system changes nonlinear characteristic to linear parameters of consequent membership function. The simple FLC system could control the system by calibrating parameter of consequent membership function that changes the system response. While the determination on parameter of the simple FLC system works well only partially, the proposed method is needed to determine parameters that work for overall response. The simple FLC system doesn’t predict the response characteristics. While the simple FLC system works just like proportional part of PID, our system includes derivative part to predict the next response. The proposed controller is constructed with P part and D part FLC system that characteristic parameter on system response is changed by self tuner for effective response. Since the proposed controller doesn’t include integral part, it can’t eliminate steady state error. So we include a gain to eliminate the steady state error.
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최한수(Hansoo Choi),이경웅(Kyoung-woong Lee) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
퍼지이론이 발표된 이후 다양한 형태의 퍼지제어기들이 제안되어져 왔다. 특히 선형제어에 있어 효과적인 성능을 보이고 있는 PI, PD 또는 PID 제어기의 형태를 취하는 퍼지제어기에 대한 많은 연구가 이루어져 왔다. 그러나 PID형 퍼지제어기의 경우 각각의 성분 즉 비례(P), 미분(D), 적분(I)에 대해 개별적인 퍼지룰을 적용하거나 각 성분을 입력으로 받는 3입력 1출력 퍼지제어기 형태를 취함으로써 퍼지제어기가 복잡해진다. 본 연구에서 P, I, D 입력을 3차원 벡터로 해석하고 입력이 3개가 아닌 단일 입력 PID형 퍼지제어기를 구성하여 효과적으로 제어됨을 보이고 PID 계수 변화에 대한 결과를 시스템 응답을 통해 제시하였다.
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최한수(Hansoo Choi),이경웅(Kyoung-Woong Lee) 제어로봇시스템학회 2011 제어·로봇·시스템학회 논문지 Vol.17 No.3
This paper presents a Takagi-Sugeno (T-S) type Fuzzy Logic Controller (FLC) with only 3 rules. The choice of parameters of FLC is very difficult job on design FLC. Therefore, the choice of appropriate linguistic variable is an important part of the design of fuzzy controller. However, since fuzzy controller is nonlinear, it is difficult to analyze mathematically the affection of the linguistic variable. So this choice is depend on the expert"s experience and trial and error method. In this paper, we propose the method to choose the consequence linear equation"s parameter of T-S type FLC. The parameters of consequence linear equations of FLC are tuned according to the system error that is the input of FLC. The full equation of T-S type FLC is presented and using this equation, the relation between output and parameters can represented. The parameters are tuned with gradient algorithm. The parameters are changed depending on output. Ths simulation results demonstrate the usefulness of this T-S type 3 rule fuzzy controller.
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