| Title |
Optimization of Redundancy by using Genetic Algorithm for Reliability of Plant Protection Controller |
| Authors |
유동완(Yu, Dong-Wan) ; 김동훈(Kim, Dong-Hun) ; 박희윤(Park, Hui-Yun) ; 구인수(Gu, In-Su) ; 서보혁(Seo, Bo-Hyeok) |
| Keywords |
Redundancy ; Reliability ; Availability ; Genetic Algorithm ; Plant Protection Controller(PPC) ; Optimization |
| Abstract |
The reliability of system is to become a important concern in developed industry. The controller based on the reliability is so important position. PPC(Plant Protection Controller) is for plant protection and human life by fault detection and control action against the transient condition of plant. The protection system of the nuclear reactor and chemical reactor are representative of PPC. This paper presents analysis of PPC relaibility formal problem statement of optimal redundancy based on the reliability for PPC. And the problem is optimized by genetic algorithm, The genetic algorithms is useful algorithm in case of large searching complex gradient existence local minimum. The genetic algorithms is useful algorithm is case of large searching complex gradient existence local minimum. The ability and effectiveness of the proposed optimization is demonstrated by the target reliability of one channel. PPC. using the failure rate based on the MIL-HDBK-217 |