Fractional order IMC based PID controller design using Novel Bat optimization algorithm for TITO Process

被引：12
|
作者：
Lakshmanaprabu, S. K. [1 ]
Banu, Sabura U. [1 ]
Hemavathy, P. R. [1 ]
机构：
[1] BS Abdur Rahman Crescent Univ, Dept Elect & Instrumentat Engn, Chennai 600048, Tamil Nadu, India
来源：
FIRST INTERNATIONAL CONFERENCE ON POWER ENGINEERING COMPUTING AND CONTROL (PECCON-2017 ) | 2017年 / 117卷
关键词：
Fractional order Control; Fractional order IMC; IMC-PID; TITO process; multiloop control; Novel Bat optimization; INTERNAL-MODEL CONTROL;
D O I：
10.1016/j.egypro.2017.05.237
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An independent design of adaptive multiloop fractional order internal model control based PID (FOIMC-PID) controller for a two input two output process (TITO) is presented. The multivariable system is decomposed by ideal decoupler to develop effective open loop transfer function (EOTF) and then it is approximated into first order plus dead time (FOPDT) model. The multiloop FOIMC-PID controller is designed for TITO model and controller parameters are optimally tuned using Novel Bat Optimization Algorithm (NBOA). The simulation results are demonstrated to show the effectiveness of proposed controller and also some tuning procedure is suggested to get better FOIMC-PID controller performance. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：1125 / 1133
页数：9
相关论文
共 50 条
  • [1] IMC Based Fractional order PID Controller
    Vinopraba, T.
    Sivakumaran, N.
    Narayanan, S.
    2011 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2011,
  • [2] Design of Fuzzy-IMC PID Controller for TITO Process with Time Delay
    Paul, Parikshit Kr
    Dey, Chanchal
    Mudi, Rajani K.
    2014 FOURTH INTERNATIONAL CONFERENCE OF EMERGING APPLICATIONS OF INFORMATION TECHNOLOGY (EAIT), 2014, : 70 - 74
  • [3] Optimization design on fractional order PID controller based on adaptive particle swarm optimization algorithm
    Liu, Xiaoyong
    NONLINEAR DYNAMICS, 2016, 84 (01) : 379 - 386
  • [4] Optimization design on fractional order PID controller based on adaptive particle swarm optimization algorithm
    Xiaoyong Liu
    Nonlinear Dynamics, 2016, 84 : 379 - 386
  • [5] Optimization-based design of fractional order PID controller: the exchange market algorithm
    Salim, Mina
    Hamedifar, Sima
    Chaharlang-Bakhtiary, Mohammad
    2020 28TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2020, : 1492 - 1495
  • [6] Design of fractional - order PID controller based on genetic algorithm
    Wang, Lingxin
    Wang, Chunyang
    Yu, Li
    Liu, Yonghua
    Sun, Jingxue
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 808 - 813
  • [7] The IMC-PID Controller Design for TITO Process Using Closed-loop Identification Method
    Li, XiaoFeng
    Wu, Ruiyuan
    Zhang, Weidong
    2014 13TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION (ICARCV), 2014, : 1339 - 1344
  • [8] Development of a Fractional Order PID Controller for a Physical System based on Bat Inspired Algorithm
    Aboelela, Magdy A. S.
    2019 8TH INTERNATIONAL CONFERENCE ON MODERN CIRCUITS AND SYSTEMS TECHNOLOGIES (MOCAST), 2019,
  • [9] Optimal design a fractional-order PID controller using particle swarm optimization algorithm
    Department of Electrical Engineering, Gonabad Branch, Islamic Azad University, Gonabad, Iran
    Int. J. Control Autom., 2013, 4 (55-68):
  • [10] Design of Fractional Order PID Controller Using Genetic Algorithm Optimization Technique for Nonlinear System
    Jaiswal, Shivanky
    Chiluka, Suresh Kumar
    Seepana, Murali Mohan
    Babu, G. Uday Bhaskar
    CHEMICAL PRODUCT AND PROCESS MODELING, 2020, 15 (02):
12345