Active Disturbance Rejection Control With Self-Adjusting Parameters for Vibration Displacement System of Continuous Casting Mold

被引:11
|
作者
Ma, Zhuang [1 ,2 ]
Fang, Yiming [1 ,3 ]
Zheng, Huicheng [4 ]
Liu, Le [1 ,3 ]
机构
[1] Yanshan Univ, Coll Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
[2] Tangshan Coll, Sch Intelligence & Informat Engn, Tangshan 063000, Peoples R China
[3] Natl Engn Res Ctr Equipment & Technol Cold Strip, Qinhuangdao 066004, Hebei, Peoples R China
[4] Gulf Secur Technol Co Ltd, Qinhuangdao 066004, Hebei, Peoples R China
来源
IEEE ACCESS | 2019年 / 7卷
关键词
Continuous casting mold; servo motor; nonlinear periodic Function; active disturbance rejection control; self-tuning parameter; NONLINEAR-SYSTEMS;
D O I
10.1109/ACCESS.2019.2909846
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Continuous casting mold (CCM) is molding equipment of the casting blank and widely used in iron and steel metallurgy. This paper focuses on the tracking control of vibration displacement of CCM is driven by a servo motor. To address the non-unique inverse solution of the nonlinear periodic function, a new nonlinear processing algorithm is developed. Based on the algorithm, an active disturbance rejection controller (ADRC) with self-adjusting parameters to estimate and compensate the disturbances is proposed for suppressing the disturbances and improving the tracking performance. The simulation results demonstrate the effectiveness of the proposed control scheme.
引用
收藏
页码:52498 / 52507
页数:10
相关论文
共 50 条
  • [31] Adaptive backstepping sliding mode control for oscillation displacement system of continuous casting mold with unmatched perturbations
    Li J.-X.
    Zhang Q.-Y.
    Gao C.-Y.
    Fang Y.-M.
    Kongzhi yu Juece/Control and Decision, 2020, 35 (03): : 578 - 586
  • [32] Modeling Based on BP Neural Network for Non-sinusoidal Vibration Displacement Control System of Continuous Casting Mold Driven by Servo Motor
    Ma Zhuang
    Fang Yiming
    Liu Le
    Kang Kesong
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 2160 - 2165
  • [33] A Control Parameters Self-Adjusting Method for photovoltaic inverter considering the variation of inductance
    Liu, Jiang
    Sun, Xiangdong
    Ren, Biying
    Song, Weizhang
    ENERGY REPORTS, 2023, 9 : 410 - 418
  • [34] A Control Parameters Self-Adjusting Method for photovoltaic inverter considering the variation of inductance
    Liu, Jiang
    Sun, Xiangdong
    Ren, Biying
    Song, Weizhang
    ENERGY REPORTS, 2023, 9 : 410 - 418
  • [35] Self-adjusting Fuzzy MPPT PV System Control by FPGA Design
    Cheng, Ze
    Yang, Hongzhi
    Liu, Yanli
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [36] INVESTIGATION OF ONE TYPE OF SELF-ADJUSTING OPTIMUM CONTROL-SYSTEM
    KHOROSHILOV, VS
    AVTOMATIKA, 1982, (02): : 43 - 51
  • [37] Active disturbance rejection control: an application to continuous microalgae photobioreactors
    Sangregorio-Soto, Viyils
    Mazzanti, Gianfranco
    Cortes-Romero, John A.
    Garzon-Castro, Claudia L.
    JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY, 2023, 98 (12) : 3004 - 3015
  • [38] Fuzzy Self-adjusting PID Controller based Network Control System
    Zhang Ju
    Gong Junqiang
    Zhang Haihua
    PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 1840 - 1845
  • [39] Self-adjusting system with a reference model for control of underwater vehicle motion
    Lebedev A.V.
    Filaretov V.F.
    Optoelectronics, Instrumentation and Data Processing, 2015, 51 (5) : 462 - 470
  • [40] Self-adjusting control system of the electrodynamic velocity transducer for Mossbauer spectrometer
    Zekhtser, M. Yu.
    Revyakin, A. S.
    Sarychev, D. A.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2016, 381 : 45 - 51