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Designing of Fuzzy Logic Controller for Set-Point Weight Tuning of Pid Controllers
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- 발행기관
- 보안공학연구지원센터(IJHIT) 바로가기
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- 간행물
- International Journal of Hybrid Information Technology 바로가기
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- 통권
- Vol.8 No.10 (2015.10)바로가기
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- 페이지
- pp.351-358
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A257244
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- In this paper, a novel methodology, based on fuzzy logic, for the tuning of proportional-integral-derivative (PID) controllers is presented. The purpose of this project tries to explore the potential of using soft computing methodology in controllers and their advantages over conventional methods. In control system there are a number of general systems and methods which are encountered in all areas of industry and technology. There are many ways to control any system, in which fuzzy is often the very best way. The only reason is faster and cheaper. For this paper, the set-point tuning was controlled by using three rules of membership function which then extended to five rules, seven rules and nine rules for verification purpose and further improvement of the system. There are various systems for the designing of PID controller and it is used to control the different parameters like settling time, rise time, overshoot, peak gain and phase margin, stability etc of the plant. Hence both the overshoot and the rise time in set-point following can be reduced. The conventional PID controller is not very efficient due to the presence of non linearity in the system of the plant and also it has a quite high overshoot and settling time. The main focus of this project is to apply soft computing technique that is fuzzy logic to design and tuning of PID controller to get better dynamic and static performance at the output. This project also discusses the benefits the soft computing methods.
목차
Abstract
I. INTRODUCTION
A. Conventional PID Controller
B. Fuzzy Logic Controller
C. Principle of FLC
II. DESIGNING OF FUZZY LOGIC CONTROLLER
A. FIS Editor
B. Membership Function Editor
C. Rule Editor
III. SIMULATION BLOCK DIAGRAM
A. Simulation Model of PID Controller
B. Simulation Model of Fuzzy Logic Controller
IV. SIMULATION RESULTS & DISCUSSION
A. Simulation Result of PID Controller
B. Simulation Result of Fuzzy Logic Controller
C. Discussion
V. CONCLUSION
REFERENCES
키워드
PID controller Fuzzy logic controller저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Hybrid Information Technology
- 간기
- 격월간
- pISSN
- 1738-9968
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.8 No.10
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