Levitation System Controller Design Based on the Implicit General Predictive Control Algorithm

被引:0
|
作者
Wang, Yuyin [1 ]
Li, Jie [1 ]
机构
[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Engn Res Ctr Maglev Technol, Chang Sha 410073, Hu Nan, Peoples R China
关键词
Maglev Levitation System; Implicit General Predictive Control (GPC); Feedback linearization;
D O I
10.4028/www.scientific.net/AMM.0.806
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The levitation control system is a key technique of the maglev system. Due to the strong non-linear character of the magnetic force, as well as the model uncertainties and external interferences of the maglev system, the Implicit General Predictive Control algorithm, which adjusts the parameters of the control scheme by using the input and output data, is adopted in this article. Taking the single electro-magnet levitation system as the research object, this algorithm not only guarantees the stability of the system, but also suppresses the vibration caused by the flexibility of the track. The advantages of this algorithm include: the superior control capacity, roll over optimization and little dependence on model. The simulation approves the validity of this method.
引用
收藏
页码:806 / 811
页数:6
相关论文
共 50 条
  • [41] Design of Model Predictive Controller Based on Iterative Learning Control
    Du, Wenyan
    Feng, Wei
    Liu, Xiangjie
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 4222 - 4226
  • [42] Design of Turbofan Engine Controller Based on Explicit Predictive Control
    Feng C.
    Du X.
    Yang B.
    Zhang Y.-L.
    Wen S.-X.
    Tuijin Jishu/Journal of Propulsion Technology, 2022, 43 (06):
  • [43] Inverter controller design based on Model Predictive Control in microgrid
    Shen, Yitong
    Gao, Wei
    Gao, David Wenzhong
    Yan, Weihang
    2017 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT), 2017, : 436 - 441
  • [44] Passivity-Based Control Design for Magnetic Levitation System
    Yang, Wang
    Meng, Fanwei
    Sun, Man
    Liu, Kai
    APPLIED SCIENCES-BASEL, 2020, 10 (07):
  • [45] IMPLICIT DESIGN OF A PREDICTIVE PID CONTROLLER WITH COMPUTATIONAL DELAY EFFECT
    HABIB, RS
    SUNGOOR, AMH
    IECON 89, VOLS 1-4: POWER ELECTRONICS - SIGNAL-PROCESSING & SIGNAL CONTROL - FACTORY AUTOMATION, EMERGING TECHNOLOGIES, 1989, : 198 - 202
  • [46] Design and Implementation of Predictive Control Algorithm for Embedded System
    Yang, Jie
    Gao, Zengliang
    Liu, Yi
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 2594 - 2597
  • [47] Optimisation of controller parameters by genetic algorithm for an electromagnetic levitation system
    Bhaduri, Rupam
    Banerjee, Subrata
    INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL, 2011, 5 (03) : 219 - 244
  • [48] Over-actuated controller design for dynamic positioning system based on model predictive control
    Liang, H. (mr_liangok@163.com), 1600, Editorial Board of Journal of Harbin Engineering (35):
  • [49] HHO Algorithm based PID Controller Design for Aircraft Pitch Angle Control System
    Izci, Davut
    Ekinci, Serdar
    Demiroren, Aysen
    Hedley, John
    2ND INTERNATIONAL CONGRESS ON HUMAN-COMPUTER INTERACTION, OPTIMIZATION AND ROBOTIC APPLICATIONS (HORA 2020), 2020, : 290 - 295
  • [50] A Controller Design based on Iterative Learning method and Model Predictive Control for a nonlinear process system
    Zamani, Mohammad Reza
    Rahmani, Zahra
    Rezaee, Behrooz
    2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION AND AUTOMATION (ICCIA), 2019, : 72 - 78