• DocumentCode
    3697557
  • Title

    Implementation real value genetic algorithm to determine three PID parameter

  • Author

    A. A. M. Yusuf;N. J. Agung;S. Unang

  • Author_Institution
    School Of Electrical Engineering, Telkom University, Bandung, Indonesia
  • fYear
    2015
  • Firstpage
    198
  • Lastpage
    202
  • Abstract
    This work about genetic algorithm is used for determining optimum combination for PID parameter. While genetic algorithm use evolutionary theorem like crossover and mutation, this work proposed modified fitness function by using Integral Time Weighted Absolute Error (ITAE) criterion and multiplying with a as ITAE gain and summarize with Mean Squared Error (MSE) and multiplying with p as MSE gain and last its summarize with maximum overshoot error and multiplying with y for overshoot gain. The result of this work have given the best combination of Kp, Ki, and Kd as PID parameter gain with the best performance for the plant system used in error sampling.
  • Keywords
    "Genetic algorithms","Sociology","Statistics","Biological cells","Tuning","Renewable energy sources","System analysis and design"
  • Publisher
    ieee
  • Conference_Titel
    Control, Electronics, Renewable Energy and Communications (ICCEREC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCEREC.2015.7337044
  • Filename
    7337044