MRAC based intelligent PID controller design technique for a class of dynamical systems

被引:0
|
作者
Mallick, Santanu [1 ]
Mondal, Ujjwal [2 ]
机构
[1] Bankura Unnayani Inst Engn, Dept Appl Elect & Instrumentat Engn, Bankura 722146, India
[2] Univ Calcutta, Dept Appl Phys, Instrumentat Engn, Kolkata 700009, India
来源
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES | 2024年 / 49卷 / 02期
关键词
Intelligent proportional integral derivative controller; massachusetts institute of technology rule; model-free control; model reference adaptive controller; ultralocal model;
D O I
10.1007/s12046-024-02457-4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Model-Free Control (MFC) is used to control a complex system by designing a simple representation of the system, known as ultralocal model. This MFC continuously updates the input-output behavior with the help of ultralocal model. The combination of MFC with standard Proportional Integral Derivative (PID) controller develops Intelligent Proportional Integral Derivative (i-PID) controller. The i-PID controller is basically a class of robust control technique in the field of PID controller. In this methodology, the tuning is quite straightforward for extremely nonlinear and/or time varying plants, without consideration of any modeling procedure. In Model Reference Adaptive Controller (MRAC)-PID controller principle, PID parameters are updated/tuned in accordance with control technique based on MRAC-Massachusetts Institute of Technology (MIT) rule, such that the plant is efficient to follow the reference model. The main objective of this paper is to implement MRAC based Intelligent PID controller for a class of dynamical systems using Model-Free Control technique, where the prior knowledge about the system dynamic is not essential and moreover complex parameter tuning is not necessary.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Design of multi-objective evolutionary technique based intelligent controller for multivariable nonlinear systems
    Rashidi, F
    Rashidi, M
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2004, 2004, 3070 : 978 - 983
  • [22] A Novel Order Abatement Technique for Linear Dynamic Systems and Design of PID Controller
    Gautam, Sunil Kumar
    Nema, Savita
    Nema, R. K.
    IETE TECHNICAL REVIEW, 2024, 41 (04) : 389 - 409
  • [23] Design of PID controller for higher order continuous systems using MPSO based model formulation technique
    Deepa, S.N.
    Sugumaran, G.
    World Academy of Science, Engineering and Technology, 2011, 56 : 1274 - 1280
  • [24] Design of an intelligent global terminal backsteping controller for a class of constrained input systems
    Wu, Jinhua
    Lei, Junwei
    Yu, Jinyong
    Fan, Zuoe
    2009 INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION, AND ROBOTICS, PROCEEDINGS, 2009, : 433 - 436
  • [25] Metaheuristic algorithm based PID controller using MRAC techniques for control of a nonlinear system
    Goud, Vibha
    Goud, Harsh
    Salwan, Chirag
    Verma, Ajay
    Soft Computing, 2024, 28 (21) : 12751 - 12761
  • [26] A neural network-based design method of the fractional order PID controller for a class of motion control systems
    Zheng, Weijia
    Chen, YangQuan
    Wang, Xiaohong
    Lin, Meijin
    ASIAN JOURNAL OF CONTROL, 2022, 24 (06) : 3378 - 3393
  • [27] Design and optimization of robust PID controller via stability methods for a class of uncertainity systems
    Keshtkar, A.
    Bolandi, H.
    Jalali, Ali. A.
    2007 MEDITERRANEAN CONFERENCE ON CONTROL & AUTOMATION, VOLS 1-4, 2007, : 1657 - 1661
  • [28] A generalized PID controller for high-order dynamical systems
    Ablay, Gunyaz
    JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, 2021, 72 (02): : 119 - 124
  • [29] A combined PID/adaptive controller for a class of nonlinear systems
    Huang, SN
    Tan, KK
    Lee, TH
    AUTOMATICA, 2001, 37 (04) : 611 - 618
  • [30] Design and Experimental Evaluation of an Intelligent PID Controller using CMACs
    Koiwai, Kazushige
    Kawada, Kazuo
    Yamamoto, Toru
    2009 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2, 2009, : 730 - 735