제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지

A modified Genetic Algorithm using SVM for PID Gain Optimization

  • Cho, Byung-Sun (Department of Control and Instrumentation Engineering, Korea University) ;
  • Han, So-Hee (Department of Control and Instrumentation Engineering, Korea University) ;
  • Son, Sung-Han (Department of Control and Instrumentation Engineering, Korea University) ;
  • Kim, Jin-Su (Department of Control and Instrumentation Engineering, Korea University) ;
  • Park, Kang-Bak (Department of Control and Instrumentation Engineering, Korea University) ;
  • Tsuji, Teruo (Department of Electrical Engineering, Kyushu Institute of Technology)
  • Published : 2004.08.25
Download PDF
⟨ Previous Next ⟩

Abstract

Genetic algorithm is well known for stochastic searching method in imitating natural phenomena. In recent times, studies have been conducted in improving conventional evolutionary computation speed and promoting precision. This paper presents an approach to optimize PID controller gains with the application of modified Genetic Algorithm using Support Vector Machine (SVMGA). That is, we aim to explore optimum parameters of PID controller using SVMGA. Simulation results are given to compare to those of tuning methods, based on Simple Genetic Algorithm and Ziegler-Nicholas tuning method.

Keywords