• 한국지능시스템학회논문지
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• 제21권4호
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• pp.530-535
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• 2011

본 논문에서는 방사 및 연신 공정에 쓰이는 히터 시스템의 정밀온도 제어를 다룬다. 히터 시스템의 정밀온도 제어를 위해 자동동조(auto-tuning) IMC-PID 제어기를 최적화 기법인 uDEAS를 이용해서 설계하는 방법을 제안한다. 이를 위해 롤 히터의 측정 데이터로부터 히터를 근사 모델링하고, 이 모델로부터 안정성과 제어성능을 널리 만족시키는 최적의 IMC-PID 제어기 저역필터 값을 uDEAS로 동조한다. 마지막으로, 설계된 제어기를 DSP 키트를 사용하여 실험하였다.

• 한국지능시스템학회논문지
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• 제23권1호
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• pp.1-6
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• 2013

정격풍속이상에서 발전기의 출력을 일정하게 유지하기 위하여 PID에 기초한 다양한 종류의 방법들이 발표되었다. 그러나 고정된 PID 이득을 이용한 이러한 방법에서는 전 영역에서 동작하리라는 보장이 없다. 이 논문에서는 전 영역에서 동작하는 시스템을 설계하기 위하여 풍속의 강도에 따라 PID 이득이 변하는 방법을 제안하였다. 풍속의 강도에 따라 피치각에 따른 전력의 민감도는 계속 변하는데, PID 이득을 민감도의 함수로 유도하였다.

• 전기학회논문지
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• 제65권8호
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• pp.1383-1391
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• 2016

This paper is concerned with applicability of a new type of controllers, called i-PID and GPI in which unknown parts of the plant are taken into account without any modeling procedure, to automatic voltage regulator (AVR) system. First, the procedure for applying i-PID and GPI algorithms to AVR system is proposed, which uses model reduction technique based on the given information of AVR. Second, simulations are given to verify their effectiveness comparing to various PID algorithms including PIDD2 which is four-term controller, that is, consisting of PID and second order derivative terms. Superior response performances of i-PID and GPI in comparison to conventional PID controllers are shown. Moreover, i-PID can highly improve the system robustness with respect to model uncertainties, especially to load variations.

• 한국정보통신학회논문지
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• 제19권11호
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• pp.2534-2539
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• 2015

발전기의 전압조정장치(AVR)를 이용하여 전압을 조절하는 방식은 기존 아날로그방식과 교체중인 디지털방식을 나눌 수 있다. 일반적으로 브러쉬레스형의 여자시스템을 이용하여 전압을 조절할 경우 전부하에 대하여 전압변동을 작게 하여야 한다. AVR의 제어방법으로 PID(비례-적분-미분)제어방식이 많이 사용되고 있다. 그러나 이 제어기법은 제어대상에 대하여 제어기의 파라미터를 조절하여 과도응답을 줄이고 있다. 따라서 제어대상이 달라질 경우 다시 제어기의 파라미터를 다시 설정해야하는 문제점이 있다. 본 연구에서는 제어대상의 파라미터 변동에 대하여 제어기의 파라미터를 재설정 필요없이 iPID(intelligent PID)제어기를 이용하여 발전기 AVR시스템에 적용하여 전부하 시에도 전압변동이 작은 응답을 얻도록 설계하고 시뮬레이션과 실험을 통하여 과도응답을 개선하였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.525-530
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• 2003

This paper focuses on design of nonlinear power plant controller using immune based multiobjective fuzzy approach. The thermal power plant is typically regulated by the fuel flow rate, the spray flow rate, and the gas recirculation flow rate. However, Strictly maintaining the steam temperature can be difficult due to heating value variation to the fuel source, time delay changes in the main steam temperature. the change of the dynamic characteristics in the steam-turbine system. Up to the present time, PID Controller has been used to operate this system. However, it is very difficult to achieve an optimal PID gain with no experience, since the gain of the PID controller has to be manually tuned by trial and error. These parameters tuned by multiobjective based on immune network algorithms could be used for the tuning of nonlinear power plant.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권1호
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• pp.70-78
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• 2004

This paper proposes non-linear control method using immune algorithm based fuzzy logic. Nonlinear dynamic system exist widely in many types of systems such as chemical processes, biomedical processes, and the main steam temperature control system of the thermal power plant. Up to the present time, PID Controllers have been used to operate these systems. However, it is very difficult to achieve an optimal PID gain with no experience, because gain of the PID controller has to be manually tuned by trial and error. An inverted pendulum control problem is selected to illustrate the efficiency of the proposed method and defines relationship state variables $\chi$, $\chi$, $\theta$, $\theta$ using immune fuzzy.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권2호
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• pp.146-156
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• 2003

Nonlinear dynamic system exist widely in many types of systems such as chemical processes, biomedical processes, and the main steam temperature control system of the thermal power plant. Up to the present time, PID Controllers have been used to operate these systems. However, it is very difficult to achieve an optimal PID gain with no experience, because of the interaction between loops and gain of the PID controller has to be manually tuned by trial and error. This paper suggests control approaches by immune fuzzy for the nonlinear control system inverted pendulum, through computer simulation. This paper defines relationship state variables $x,\dot{x},{\theta},\dot{\theta}$ using immune fuzzy and applied its results to stability.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.360-365
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• 2003

In this paper, we have developed a general purpose motion controller using an FPGA(Field Programmable Gate Array). The multi-PID controllers on a single chip are implemented as a system-on-chip for multi-axis motion control. We also develop a PC GUI for an efficient interface control. Comparing with the commercial motion controller LM 629 it has multi-independent PID controllers so that it has several advantages such as space effectiveness, low cost and lower power consumption. In order to test the performance of the proposed controller, robot finger is controlled. The robot finger has three fingers with 2 joints each. Finger movements show that position tracking was very effective. Another experiment of balancing an inverted pendulum on a cart has been conducted to show the generality of the proposed FPGA PID controller. The controller has well maintained the balance of the pendulum.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.342-345
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• 2003

This paper presents an adaptive PID control scheme for nonlinear system. TSK(Takagi-Sugeno-Kang) fuzzy model is used to estimate the error of control input, and the parameter of PID controller are adapted using the error. The parameters of TSK fuzzy model are also adapted to plant. The proposed algorithm allows designing adaptive PID controller which is adapted to the uncertainty of nonlinear plant and the change of parameters. The usefulness of the proposed algorithm is also certificated by the several simulations.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.326-329
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• 2003

Controller that is designed in this paper is form that apply PID controller about Fuzzy algorithm. Fuzzy Controller that using this paper is can speak that compensation style fuzzy controller as form to solidify action of PID controller for plant. This is not form that autotuning the each PID coefficient. We Apply and examined the response character to AGC(Automatic Generation Control) system using designed controller.