Tuning Rules of the PID Controller Based on Genetic Algorithms

유전알고리즘에 기초한 PID 제어기의 동조규칙

  • 김도응 (한국해양대학교 대학원 제어계측공학과) ;
  • 진강규 (한국해양대학교 기계.정보공학부)
  • Published : 2002.07.10

Abstract

In this paper, model-based tuning rules of the PID controller are proposed incorporating with genetic algorithms. Three sets of optimal PID parameters for set-point tracking are obtained based on the first-order time delay model and a genetic algorithm as a optimization tool which minimizes performance indices(IAE, ISE and ITAE). Then tuning rules are derived using the tuned parameter sets, potential rule models and a genetic algorithm. Simulation is carried out to verify the effectiveness of the proposed rules.

Keywords