다변수 제어성능 최적화를 위한 유전자 알고리즘 기반 발전소 PID 제어 파라미터 튜닝 기법

윤수용; 이학성; 우주희; 변승현; 최인규; 이주현; 서인용

doi:10.5370/KIEE.2020.69.1.1

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저널정보

대한전기학회
전기학회논문지 학술저널
전기학회논문지 제69권 제1호
2020.01 1 - 8 (8page)
DOI : 10.5370/KIEE.2020.69.1.1

저자정보

윤수용 (KEPRI)
이학성 (Sejong University)
우주희 (KEPRI)
변승현 (KEPRI)
최인규 (KEPRI)

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초록·키워드

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PID controllers are widely used in the power plant control system. Generally, to calculate PID control parameters, the dynamic characteristics should be identified by investigating the variation of the process value according to the variation of the controller output. Based on this characteristics, several tuning methods can be applied to minimize the cumulative error based performance index. The applicability of ITAE(Integral Time Absolute Error) tuning method which has been studied for decades is determined by the range of time-delay/time-constant ratio. By using this method the fast rising time can be expected, but overshoot and oscillation are inevitable. These effects may lead to shorter life spans of the power plant materials because of excessive movement of the parts. To solve these problems, this paper proposed a PID tuning technique that minimizes cumulative error and overshoot simultaneously by applying genetic algorithm. The performance of the proposed PID tuning technique was verified using power plant simulator, and the performance was excellent compared with ITAE tuning method.

#Power Plant Control #Control Performance #Control Parameter Tuning #Optimization #Genetic Algorithm (GA)