Design of a Model-Free Controller based on Predictive Functional Control

被引:0
|
作者
Ashida Y. [1 ]
Katayama M. [1 ]
机构
[1] Department of Electrical Engineering and Computer Science, National Institute of Technology, Matsue College, 14-4, Nishi-Ikuma, Shimane, Matsue
关键词
data-driven control; intelligent-PID control; model-free controller; predictive functional control; ultra-local model;
D O I
10.1541/ieejeiss.144.15
中图分类号
学科分类号
摘要
Intelligent-PID (i-PID) control proposed by Fliess is a simple control algorithm. The controller is designed based on ultra-local model, and consisted of PID type controller and derivatives of reference signal and controlled variables. Authors have considered discrete i-PID controller and its properties, and one of the result was that PD controller was sufficient in discrete time domain. In discrete i-PID controller, PD type controller is still required to ensure convergence of controlled error to zero, and PD type parameters affects convergence property, fast-response property and stability. In this paper, predictive functional control (PFC) based on an ultra-local model is proposed. By introducing of PFC, controlled variable converge to reference value without PD type controller. User-specified parameters of the proposed controller is smaller than the conventional i-PID controller. Characteristics of the proposed controller are compared with discrete i-PID controller by numerical examples. © 2024 The Institute of Electrical Engineers of Japan.
引用
收藏
页码:15 / 20
页数:5
相关论文
共 50 条
  • [1] Design of a model-free controller based on predictive functional control
    Ashida, Yoichiro
    Katayama, Masaru
    ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2024, 107 (01)
  • [2] A Model-Free Predictive Control Method Based on Polynomial Regression
    Li, Hongran
    Yamamoto, Shigeru
    PROCEEDINGS OF 2016 SICE INTERNATIONAL SYMPOSIUM ON CONTROL SYSTEMS (ISCS 2016), 2016, : 89 - 94
  • [3] Model-Free Predictive Control and Its Relation to Parameter-Estimation-Based Predictive Control
    Chaovalit, Nicha
    Yamamoto, Shigeru
    PROCEEDINGS OF 2019 SICE INTERNATIONAL SYMPOSIUM ON CONTROL SYSTEMS (SICE ISCS 2019), 2019, : 84 - 89
  • [4] Intelligent PD controller design for active suspension system based on robust model-free control strategy
    Haddar, Maroua
    Chaari, Riadh
    Baslamisli, S. Caglar
    Chaari, Fakher
    Haddar, Mohamed
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2019, 233 (14) : 4863 - 4880
  • [5] Polynomial Regression Based Model-Free Predictive Control for Nonlinear Systems
    Li, Hongran
    Yamamoto, Shigeru
    2016 55TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2016, : 578 - 582
  • [6] Model-Free Predictive Current Control of PMSM Drives Based on Ultra-Local Model
    Zhang, Yongchang
    Jin, Jialin
    Huang, Lanlan
    Xu, Wei
    Liu, Yi
    2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 4816 - 4820
  • [7] Robust Model-Free Predictive Torque Control for Induction Motor Drive Based on an Ultralocal Model
    Hossen, Md. Belal
    Habibullah, Md.
    IEEE ACCESS, 2025, 13 : 47514 - 47524
  • [8] Model-free predictive control method for voltage source inverter based on sliding model observer
    Guo L.
    Chen M.
    Luo K.
    Li Y.
    Jin N.
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2023, 27 (06): : 127 - 136
  • [9] Model-free predictive current control for Boost PFC converter
    Zeng S.
    Li H.
    Zhang H.
    Dong X.
    Gu J.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2020, 40 (01): : 106 - 111
  • [10] Model-Free Predictive Current Control of SPMSM Based on Enhanced Extended State Observer
    Wu, Xuan
    Zou, Pinlong
    Huang, Sheng
    Yang, Meizhou
    Wu, Ting
    Huang, Shoudao
    Cui, Hesong
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 71 (04) : 3461 - 3471