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Improved RRS Logical Architecture using Genetic Algorithm
심효섭,정재천,Shim, Hyo Sub,Jung, Jae Chun The Korean Society of Systems Engineering 2016 시스템엔지니어링학술지 Vol.12 No.2
An improved RRS (Reactor Regulating System) logic is implemented in this work using systems engineering approach along with GA (Genetic Algorithm) deemed as providing an optimal solution to a given system. The current system works desirably and has been contributed to the safe and stable NPP operation. However, during the ascent and decent section of the reactor power, the RRS output reveals a relatively high steady state error and the output also carries a considerable level of overshoot. In an attempt to consolidate conservatism and minimize the error, this research proposes applying genetic algorithm to RRS and suggests reconfiguring the system. Prior to the use of GA, reverse-engineering is implemented to build a Simulink-based RRS model and re-engineering is followed to apply the GA and to produce a newly-configured RRS generating an output that has a reduced steady state error and diminished overshoot level.
권부길(Bu Kil, Kwon),반현석(Hyeon Seok, Ban),노용규(Yong Gyu, Noh),심효섭(Hyo Sub, Shim),이현준(Hyun Joon, Lee),박용선(Yong Sun, Park) 한국자동차공학회 2010 한국자동차공학회 부문종합 학술대회 Vol.2010 No.5
Hydrogen recirculation system composed of series connection of hydrogen blower and dual ejector is researched, which has high recirculation flux and fuel cell stack performance compared to parallel connection of hydrogen blower and single ejector. The series recirculation of hydrogen fuel in fuel cell stack bring on the performance improvements of fuel cell vehicles for stack endurance, consuming power, system weight, manufacturing cost, etc.