Optimal Fractional Order PID Controller for Magnetic Levitation System

被引:0
|
作者
Verma, Santosh Kumar [1 ]
Yadav, Shekhar [1 ]
Nagar, Shyam Krishna [1 ]
机构
[1] Indian Inst Technol BHU, Dept Elect Engn, Varanasi 221005, Uttar Pradesh, India
来源
PROCEEDINGS OF THE 2015 39TH NATIONAL SYSTEMS CONFERENCE (NSC) | 2015年
关键词
Fractional Calculus; FOPID controller; NM-optimization algorithm; Magnetic levitation system; (PID-MU)-D-LAMBDA CONTROLLER; AVR SYSTEM; DESIGN;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper an Optimal Fractional Order proportional-integral-derivative (FOPID) controller is designed to levitate the iron ball in the air space using an electromagnetic coil. The infra-red sensor fixed on the vertical sides of the magnetic levitation system (MLS) is being helpful to sense the position of the ball. The controller enables the electromagnetic coil to maintain a specified force so that the ball is levitated. To achieve the desired electro-magnetic force the performance index i.e. the integral square error (ISE) of the system is minimized. The parameters of FOPID controller are optimized using Nelder's-Mead (NM) optimization algorithm. The integer order approximation of the FOPID controller is done by using Oustaloup's method. The performance of the proposed controller is validated by comparing it with the conventional PID controller.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Enhancing stability and position control of a constrained magnetic levitation system through optimal fractional-order PID controller
    Mughees, Abdullah
    Mughees, Neelam
    Mughees, Anam
    Mohsin, Syed Ali
    Ejsmont, Krzysztof
    ALEXANDRIA ENGINEERING JOURNAL, 2024, 107 : 730 - 746
  • [2] Iterative Learning Control Based Fractional Order PID Controller for Magnetic Levitation System
    Hanif, Bushra
    Shaikh, Inam-Ul-Hasan
    Ali, Ahsan
    MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY, 2019, 38 (04) : 885 - 900
  • [3] Design and Control of Magnetic Levitation System by Optimizing Fractional Order PID Controller Using Ant Colony Optimization Algorithm
    Mughees, Abdullah
    Mohsin, Syed Ali
    IEEE ACCESS, 2020, 8 (08): : 116704 - 116723
  • [4] Design and Implementation of Digital Fractional Order PID Controller Using Optimal Pole-Zero Approximation Method for Magnetic Levitation System
    Amit S.Chopade
    Swapnil W.Khubalkar
    A.S.Junghare
    M.V.Aware
    Shantanu Das
    IEEE/CAA Journal of Automatica Sinica, 2018, 5 (05) : 977 - 989
  • [5] Design and Implementation of Digital Fractional Order PID Controller Using Optimal Pole-Zero Approximation Method for Magnetic Levitation System
    Chopade, Amit S.
    Khubalkar, Swapnil W.
    Junghare, A. S.
    Aware, M. V.
    Das, Shantanu
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2018, 5 (05) : 977 - 989
  • [6] Practical Application of Fractional-Order PID Controller based on Evolutionary Optimization Approach for a Magnetic Levitation System
    Dey, Soham
    Banerjee, Subrata
    Dey, Jayati
    IETE JOURNAL OF RESEARCH, 2023, 69 (11) : 8168 - 8192
  • [7] Optimized PID Controller for Magnetic Levitation System
    Yadav, Shekhar
    Verma, S. K.
    Nagar, S. K.
    IFAC PAPERSONLINE, 2016, 49 (01): : 778 - 782
  • [8] Theoretical Analysis and Experimental Validation of a Simplified Fractional Order Controller for a Magnetic Levitation System
    Folea, Silviu
    Muresan, Cristina I.
    De Keyser, Robin
    Ionescu, Clara M.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2016, 24 (02) : 756 - 763
  • [9] Optimal Tuning of Fractional-Order PID Controller
    Arun, M. K.
    Biju, U.
    Rajagopal, Neeraj Nair
    Bagyaveereswaran, V.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING SYSTEMS, ICSCS 2015, VOL 1, 2016, 397 : 401 - 408
  • [10] Real time implementation of fractional order PID controllers for a magnetic levitation plant
    Swain, Subrat Kumar
    Sain, Debdoot
    Mishra, Sudhansu Kumar
    Ghosh, Subhojit
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2017, 78 : 141 - 156