Application of genetic programming for fine tuning PID controller parameters designed through Ziegler-Nichols technique

Gustavo Maia De Almeida, Valceres Vieira Rocha e Silva, Erivelton Geraldo Nepomuceno, Ryuichi Yokoyama

    Research output: Contribution to journalArticle

    10 Citations (Scopus)

    Abstract

    PID optimal parameters selection have been extensively studied, in order to improve some strict performance requirements for complex systems. Ziegler-Nichols methods give estimated values for these parameters based on the system's transient response. Therefore, a fine tuning of these parameters is required to improve the system's behavior. In this work, genetic programming is used to optimize the three parameters Kp, Ti and T d, after been tuned by Ziegler-Nichols method, to control a high-order process, a large time delay plant and a highly non-minimum phase process. The results were compared to some other tuning methods, and showed to be promising.

    Original languageEnglish
    Pages (from-to)313-322
    Number of pages10
    JournalUnknown Journal
    Volume3612
    Issue numberPART III
    Publication statusPublished - 2005

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)

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  • Cite this

    De Almeida, G. M., Rocha e Silva, V. V., Nepomuceno, E. G., & Yokoyama, R. (2005). Application of genetic programming for fine tuning PID controller parameters designed through Ziegler-Nichols technique. Unknown Journal, 3612(PART III), 313-322.