From single to many-objective PID controller design using particle swarm optimization

  • Hélio Freire
  • P. B. Moura Oliveira
  • E. J. Solteiro Pires
Regular Papers Intelligent Control and Applications
  • 109 Downloads

Abstract

Proportional, integrative and derivative (PID) controllers are among the most used in industrial control applications. Classical PID controller design methodologies can be significantly improved by incorporating recent computational intelligence techniques. Two techniques based on particle swarm optimization (PSO) algorithms are proposed to design PI-PID controllers. Both control design methodologies are directed to optimize PI-PID controller gains using two degrees-of-freedom control configurations, subjected to frequency domain robustness constraints. The first technique proposes a single-objective PSO algorithm, to sequentially design a two degrees-of-freedom control structure, considering the optimization of load disturbance rejection followed by set-point tracking optimization. The second technique proposes a many-objective PSO algorithm, to design a two degrees-of-freedom control structure, considering simultaneously, the optimization of four different design criteria. In the many-objective case, the control engineer may select the most adequate solution among the resulting optimal Pareto set. Simulation results are presented showing the effectiveness of the proposed PI-PID design techniques, in comparison with both classic and optimization based methods.

Keywords

Evolutionary algorithms many-objective optimization particle swarm optimization PID control 

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Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Hélio Freire
    • 1
  • P. B. Moura Oliveira
    • 1
  • E. J. Solteiro Pires
    • 1
  1. 1.School of Sciences and Technology, INESC-TEC - UTAD poleUTAD UniversityVila RealPortugal

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