대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1999년도 하계학술대회 논문집 B
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- Pages.501-503
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- 1999
하이브리드 퍼지제어기의 설계를 위한 최적 자동동조알고리즘
Optimal Auto-tuning Algorithm for Design of a Hybrid Fuzzy Controller
- Kim, Joong-Young (Division of Electrical & Engineering of Wonkwang Univ.) ;
- Lee, Dae-Keun (Division of Electrical & Engineering of Wonkwang Univ.) ;
- Oh, Sung-Kwan (Division of Electrical & Engineering of Wonkwang Univ.) ;
- Kim, Hyun-Ki (Dept. of Electrical Engineering Suwon Univ.)
- 발행 : 1999.07.19
초록
In this paper, the design method of a hybrid fuzzy controller with an optimal auto-tuning method is proposed. The conventional PID controller becomes so sensitive to the control environments and the change of parameters that the efficiency of its utility for the complex and nonlinear plant has been questioned in transient state. In this paper, first, a hybrid fuzzy logic controller(HFLC) is proposed. The control input of the system in the HFLC is a convex combination by a fuzzy variable of the FLC's output in transient state and the PID's output in steady state. Second, a powerful auto-tuning algorithm is presented to automatically improve the Performance of controller, utilizing the improved complex method and the genetic algorithm. The algorithm estimates automatically the optimal values of scaling factors and PID coefficients. Controllers are applied to the plants with time-delay and the DC servo motor Computer simulations are conducted at the step input and the system performances are evaluated in the ITAE.
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