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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 International Journal of Control Automation and Systems International Journal of Control Automation and System Vol.4 No.5
- 발행연도
- 2006.10
- 수록면
- 624 - 636 (13page)
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초록· 키워드
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This paper proposes a hybrid approach involving Genetic Algorithm (GA) and Bacterial Foraging (BF) for tuning the PID controller of an AVR. Recently the social foraging behavior of E. coli bacteria has been used to solve optimization problems. We first illustrate the proposed method using four test functions and the performance of the algorithm is studied with an emphasis on mutation, crossover, variation of step sizes, chemotactic steps, and the life time of the bacteria. Further, the proposed algorithm is used for tuning the PID controller of an AVR. Simulation results are very encouraging and this approach provides us a novel hybrid model based on foraging behavior with a possible new connection between evolutionary forces in social foraging and distributed non-gradient optimization algorithm design for global optimization over noisy surfaces.
목차
Abstract
1. INTRODUCTION
2. HYBRID SYSTEM CONSISTING OF GENETIC ALGORITHM AND BACTERIA FORAGING
3. SIMULATION USING TEST FUNCTIONS
4. INTELLIGENT TUNING OF PID CONTROLLER FOR AUTOMATIC VOLTAGE REGULATOR (AVR) USING GA-BFAPPROACH
5. CONCLUSIONS
REFERENCES
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