International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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A Biologically Inspired Intelligent PID Controller Tuning for AVR Systems

  • Kim Dong-Hwa (School of Electrical, Electronic, Control & Instrumentation Engineering, Hanbat National University) ;
  • Cho Jae-Hoon (School of Electrical & Computer Engineering, Chungbuk National University)
  • Published : 2006.10.01
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Abstract

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.

Keywords

References

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