KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Search Results

Now showing 1 - 1 of 1
  • Some of the metrics are blocked by your 
    Item type:Publication,
    Tuning PID controller using genetic algorithms for electro-hydraulic system with tracking force control
    (2014-01-01)
    Moonumca, Pisan
    ;
    Depaiwa, Nattawoot
    ;
    Yamamoto, Yoshio
    The aim of this paper is design a controller for force control of an Electro-Hydraulic System and selection of a PID gains are using genetic algorithm. The mathematical model is considered as the Newton second law and compressible fluid flow theory. This paper compares two kinds of tuning methods for PID controller. One is the controller design by the genetic algorithm, second is the controller design by the Ziegler and Nichols method. Each PID gains are tested with step input function, square signal, half-sine signal and half-saw signal. And results show performance index with rise time, settling time and Maximum %OS. It was found that the proposed PID gains tuning by the genetic algorithm is better than the Ziegler & Nichols' method. © (2014) Trans Tech Publications, Switzerland.