Application of genetic programming for fine tuning PID controller parameters designed through ziegler-nichols technique

  • Authors:

  • Gustavo Maia de Almeida;Valceres Vieira Rocha e Silva;Erivelton Geraldo Nepomuceno;Ryuichi Yokoyama

  • Affiliations:

  • Laboratório de Sistemas e Sinais, Departamento de Engenharia Elétrica, Universidade Federal de São João del-Rei, São João del-Rei, MG, Brazil;Laboratório de Sistemas e Sinais, Departamento de Engenharia Elétrica, Universidade Federal de São João del-Rei, São João del-Rei, MG, Brazil;Laboratório de Sistemas e Sinais, Departamento de Engenharia Elétrica, Universidade Federal de São João del-Rei, São João del-Rei, MG, Brazil;Electrical Engineering, Tokyo Metropolitan University, Tokyo, Japan

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
  • Year:
  • 2005

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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 Td , 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.