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

    11 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

    Fingerprint

    Genetic programming
    programming
    controllers
    Tuning
    tuning
    Controllers
    Transient analysis
    Large scale systems
    Time delay
    transient response
    complex systems
    time lag
    requirements

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)

    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.

    Application of genetic programming for fine tuning PID controller parameters designed through Ziegler-Nichols technique. / De Almeida, Gustavo Maia; Rocha e Silva, Valceres Vieira; Nepomuceno, Erivelton Geraldo; Yokoyama, Ryuichi.

    In: Unknown Journal, Vol. 3612, No. PART III, 2005, p. 313-322.

    Research output: Contribution to journalArticle

    De Almeida, GM, Rocha e Silva, VV, Nepomuceno, EG & Yokoyama, R 2005, 'Application of genetic programming for fine tuning PID controller parameters designed through Ziegler-Nichols technique', Unknown Journal, vol. 3612, no. PART III, pp. 313-322.
    De Almeida GM, Rocha e Silva VV, Nepomuceno EG, Yokoyama R. Application of genetic programming for fine tuning PID controller parameters designed through Ziegler-Nichols technique. Unknown Journal. 2005;3612(PART III):313-322.
    De Almeida, Gustavo Maia ; Rocha e Silva, Valceres Vieira ; Nepomuceno, Erivelton Geraldo ; Yokoyama, Ryuichi. / Application of genetic programming for fine tuning PID controller parameters designed through Ziegler-Nichols technique. In: Unknown Journal. 2005 ; Vol. 3612, No. PART III. pp. 313-322.
    @article{9a2c214b95d84f308bf5cf7984994086,
    title = "Application of genetic programming for fine tuning PID controller parameters designed through Ziegler-Nichols technique",
    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.",
    author = "{De Almeida}, {Gustavo Maia} and {Rocha e Silva}, {Valceres Vieira} and Nepomuceno, {Erivelton Geraldo} and Ryuichi Yokoyama",
    year = "2005",
    language = "English",
    volume = "3612",
    pages = "313--322",
    journal = "Nuclear Physics A",
    issn = "0375-9474",
    publisher = "Elsevier",
    number = "PART III",

    }

    TY - JOUR

    T1 - Application of genetic programming for fine tuning PID controller parameters designed through Ziegler-Nichols technique

    AU - De Almeida, Gustavo Maia

    AU - Rocha e Silva, Valceres Vieira

    AU - Nepomuceno, Erivelton Geraldo

    AU - Yokoyama, Ryuichi

    PY - 2005

    Y1 - 2005

    N2 - 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.

    AB - 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.

    UR - http://www.scopus.com/inward/record.url?scp=26844546712&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=26844546712&partnerID=8YFLogxK

    M3 - Article

    AN - SCOPUS:26844546712

    VL - 3612

    SP - 313

    EP - 322

    JO - Nuclear Physics A

    JF - Nuclear Physics A

    SN - 0375-9474

    IS - PART III

    ER -