On disturbance rejection proportional–integral–differential control with model-free adaptation

被引:0
|
作者
Zhuo-Yun Nie
Gao-Ming Li
Lai-Cheng Yan
Qing-Guo Wang
Ji-Liang Luo
机构
[1] Huaqiao University,School of Information Science and Engineering
[2] Beijing Normal University,Institute of Artificial Intelligence and Future Networks
[3] BNU-HKBU United International College,Guangdong Key Lab of AI and Multi
来源
关键词
Disturbance rejection PID; Data-driven control; Error-driven model; Model-free adaptive control;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, an adaptive disturbance-rejection proportional–integral–differential (PID) control method is proposed for a class of nonlinear systems. First, PID-type criterion is introduced in a model-free adaptive control (MFAC) framework, which gives an optimal control interpretation for PID controller. Then, the design of adaptive disturbance rejection PID is proposed based on this new interpretation to realize controller gain auto-tuning. Due to the ingenious integration of active disturbance rejection and adaptive mechanism, the proposed adaptive disturbance rejection PID control scheme exhibits better control performance than MFAC case. Furthermore, the boundedness of controller gain, the convergence of tracking error and the bounded-input–bounded-output stability are proved for the proposed control system. Finally, the effectiveness of the proposed method is verified by numerical simulation.
引用
收藏
页码:34 / 45
页数:11
相关论文
共 50 条
  • [21] Model-Free Adaptive Fault-Tolerant Control with Measurement Disturbance
    Li, Haifeng
    Wang, Yingchun
    Yan, Fuxing
    Hui, Guotao
    PROCEEDINGS OF 2018 5TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS), 2018, : 232 - 236
  • [22] Model-free adaptive predictive control for PMSM systems with external disturbance
    Wang Y.
    Hou Z.-S.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2022, 39 (05): : 837 - 846
  • [23] Active Disturbance Rejection Control based on Generalized Proportional Integral Observer to Control a Bipedal Robot with Five Degrees of Freedom
    Arcos-Legarda, Jaime
    Cortes-Romero, John
    Tovar, A.
    2016 AMERICAN CONTROL CONFERENCE (ACC), 2016, : 3928 - 3933
  • [24] Model-free control
    Fliess, Michel
    Join, Cedric
    INTERNATIONAL JOURNAL OF CONTROL, 2013, 86 (12) : 2228 - 2252
  • [25] Disturbance compensation based model-free adaptive tracking control for nonlinear systems with unknown disturbance
    Li, Haifeng
    Wang, Yingchun
    Pang, Mengmeng
    ASIAN JOURNAL OF CONTROL, 2021, 23 (02) : 708 - 717
  • [26] A Model-Free PI/PID Controller based on Direct Synthesis Approach to achieve Disturbance Rejection
    Siddiqui, Mohd Atif
    Laskar, S. H.
    Anwar, Md. Nishat
    Naseem, Mohammad
    45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), 2019, : 207 - 212
  • [27] A model-free direct synthesis method for PI/PID controller design based on disturbance rejection
    Jeng, Jyh-Cheng
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2015, 147 : 14 - 29
  • [28] Model-Free Adaptive Control Approach Using Integral Reinforcement Learning
    Abouheaf, Mohammed
    Gueaieb, Wail
    2019 IEEE INTERNATIONAL SYMPOSIUM ON ROBOTIC AND SENSORS ENVIRONMENTS (ROSE 2019), 2019, : 84 - 90
  • [29] Model-Free Adaptive Integral Backstepping Control for PMSM Drive Systems
    Li, Hongmei
    Li, Xinyu
    Chen, Zhiwei
    Mao, Jingkui
    Huang, Jiandong
    JOURNAL OF POWER ELECTRONICS, 2019, 19 (05) : 1193 - 1202
  • [30] Disturbance rejection in information-poor systems using an adaptive model-free fuzzy controller
    Kadri, M. B.
    Dexter, A. L.
    2009 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, 2009, : 139 - 144