Fractional Order Model Identification for Pressure Process Control System by Cuckoo Search Algorithm

Abstract

This paper presents the optimal fractional order model identification of the pressure process control system by the cuckoo search (CS) algorithm. The accurate model the pressure process control is required for analysis and design. The fractional order model is based on the fractional calculus. Therefore, the orders of transfer function model can be extended from integer to real number. Consequently, the fractional order model is more accurate than the integer order model. The fractional order system identification problem can be set as the modern optimization problem. The objective function receives from the integral of the absolute error (IAE) between the output of actual pressure process control and the output of candidate model within search space. The CS algorithm solves the optimal parameter of the fractional order model of the pressure process control in order to minimize the objective function. From simulation results, the fractional order model identified by the CS algorithm can give high accuracy, once compared with the integer order model identified by the CS algorithm.