대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2005년도 제36회 하계학술대회 논문집 B
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- Pages.1327-1329
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- 2005
유전 알고리즘을 이용한 자기부상 제어기의 게인 최적화
Gain Optimization by Using Genetic Algorithm for Magnetic Levitation Controller
- 김종문 (한국전기연구원 계측제어연구그룹)
- Kim, Jong-Moon (Instrumentation and Control Research Group, Korea Eiectrotechnology Research Institute)
- 발행 : 2005.07.18
초록
This paper presents a gam optimization method using genetic algorithm(GA) for a magnetic levitation(Maglev) controller. GA uses the integral of square error(ISE) as performance index. The plant dynamics are described and modelled by mathematical equations. Also, the system apparatus for the Maglev system are described. Using the derived model, to optimize the feedback gains of conventional state feedback controller(SFC), GA is simulated with SIMULINK model. finally, using the optimized feedback gains, SFC is applied to the Maglev system. From the results, we can see that GA can give a solution for the better control performance for the Maglev system.
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