Iterative Learning Control for Nonlinear Weighing and Feeding Process

被引：2
|
作者：
An, Jianqi [1 ,2 ,3 ]
You, Fayang [1 ,2 ]
Wu, Min [1 ,2 ]
She, Jinhua [1 ,2 ,3 ]
机构：
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Hubei, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Hubei, Peoples R China
[3] Tokyo Univ Technol, Sch Engn, Tokyo 1920982, Japan
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2018年 / 2018卷
基金：
日本学术振兴会; 中国国家自然科学基金;
关键词：
VIBRATORY CONVEYOR; DESIGN; FEEDER;
D O I：
10.1155/2018/9425902
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Due to the nonlinear dynamics in weighing and feeding process, it is difficult to achieve high accuracy with conventional control methods. This paper uses a piecewise linearization method for the nonlinear problem and discusses the application of iterative learning control in weighing and feeding process. First, the nonlinear problem and the repeatability are discussed based on dynamic analysis of weighing and feeding process. Next, a linear state space model is established with a piecewise linearization method. Then, an iterative learning controller is presented by utilizing repetitive characteristics, and the controller parameters are obtained by using a multi-objective optimization method. Finally, simulation results show that the presented control method improves the control performances and the accuracy of feeding.
引用
收藏
页数：9
相关论文
共 50 条
  • [11] 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
  • [12] Iterative Learning Control Design Based on Feedback Linearization and Nonlinear Repetitive Process Stability Theory
    Pakshin, Pavel
    Emelianova, Julia
    Emelianov, Mikhail
    Galkowski, Krzysztof
    Rogers, Eric
    2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), 2016, : 5478 - 5483
  • [13] A computationally efficient policy optimization scheme in feedback iterative learning control for nonlinear batch process
    Gao, Kaihua
    Lu, Jingyi
    Zhou, Yuanqiang
    Gao, Furong
    COMPUTERS & CHEMICAL ENGINEERING, 2025, 195
  • [14] Adaptive Nonlinear Control of the Czochralski Process via Integration of Second Order Sliding Mode and Iterative Learning Control
    Bukhari, Halima Zahra
    Aftab, Muhammad Faisal
    Winkler, Jan
    Hovd, Morten
    2017 11TH ASIAN CONTROL CONFERENCE (ASCC), 2017, : 2732 - 2737
  • [15] Iterative learning control for nonlinear nonminimum phase plants
    Ghosh, J
    Paden, B
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2001, 123 (01): : 21 - 30
  • [16] Nonlinear iterative learning control with applications to lithographic machinery
    Heertjes, Marcel
    Tso, Tim
    CONTROL ENGINEERING PRACTICE, 2007, 15 (12) : 1545 - 1555
  • [17] Contraction analysis of nonlinear noncausal iterative learning control
    Kong, Felix H.
    Manchester, Ian R.
    SYSTEMS & CONTROL LETTERS, 2020, 136
  • [18] Event-Triggered Nonlinear Iterative Learning Control
    Lin, Na
    Chi, Ronghu
    Huang, Biao
    Hou, Zhongsheng
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (11) : 5118 - 5128
  • [19] Nonlinear iterative learning control for discriminating between disturbances
    Aarnoudse, Leontine
    Pavlov, Alexey
    Oomen, Tom
    AUTOMATICA, 2025, 171
  • [20] Adaptive iterative learning control of nonlinear systems with hysteresis
    Zhao Xin-long
    Lou Shuang
    Zhang Yi-kai
    Pan Hai-peng
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 1030 - 1033
12345