Design of an Optimal PID Controller for a Coupled Tanks System employing ADRC

被引:31
|
作者
Teppa Garran, P. [1 ]
Garcia, G. [2 ]
机构
[1] Univ Simon Bolivar, Caracas, Venezuela
[2] CNRS, LAAS, INSA, Toulouse, France
关键词
Coupled Tanks System; Active Disturbance Rejection Control (ADRC); Extended State Observer (ESO); Linear Quadratic Regulator (LQR); Proportional-Integral-Derivative (PID) Controller; ACTIVE DISTURBANCE REJECTION; EQUIVALENCE; OBSERVERS; STABILITY;
D O I
10.1109/TLA.2017.7854611
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Finding simple and reliable mathematical models for describing a complex process is a difficult task. In deriving a reasonably model, we frequently find necessary to ignore certain properties of the system. Active Disturbance Rejection Control (ADRC) is a method that does not require a detailed mathematical description of the system, it supposes that the unmodeled elements of the dynamics and external disturbances can be estimated trough an Extended State Observer (ESO), and then rejected by adding the estimate in the control law. In this work, the input-output behavior of a coupled tanks system is approximated by a second order uncertain model. This allows employing the Linear Quadratic Regulator (LQR) approach to design a Proportional-Integral-Derivative (PID) controller into the ADRC framework. It is proposed a criterion for selecting the weighting matrices in LQR in order to have a desired percentage overshoot and settling time of the closed loop system response.
引用
收藏
页码:189 / 196
页数:8
相关论文
共 50 条
  • [21] Fuzzy ADRC Controller Design for PMSM Speed Regulation System
    Su, Guang
    ADVANCED MANUFACTURING SYSTEMS, PTS 1-3, 2011, 201-203 : 2405 - 2408
  • [22] Performance Comparison of Load Frequency Control for Power System by ADRC Approach and PID Controller
    Abdalla, Mohammed A.
    Yang, Guotian
    Huang, Congzhi
    2019 THE 10TH ASIA CONFERENCE ON MECHANICAL AND AEROSPACE ENGINEERING (ACMAE 2019), 2020, 1510
  • [23] Design of Optimal Hybrid Fractional Order PID Controller
    Maurya, Rinki
    Bhandari, Manisha
    PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016), 2016,
  • [24] Optimal design of non-fragile PID controller
    Elsisi, Mahmoud
    ASIAN JOURNAL OF CONTROL, 2021, 23 (02) : 729 - 738
  • [25] Optimal design and stability analysis of a fuzzy PID controller
    Adel, Taieb
    Abdelkader, Chaari
    2018 15TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES (SSD), 2018, : 971 - 975
  • [26] Optimal PID controller design with adjustable maximum sensitivity
    Verma, Bharat
    Padhy, Prabin K.
    IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (08): : 1156 - 1165
  • [27] Modified ant colony optimization based PID controller design for coupled tank system
    Chauhan, Sumika
    Singh, Bhawana
    Singh, Manmohan
    ENGINEERING RESEARCH EXPRESS, 2021, 3 (04):
  • [28] Optimal PID controller design using standard optimal control techniques
    O'Brien, Richard T., Jr.
    Howe, Jamie M., III
    2008 AMERICAN CONTROL CONFERENCE, VOLS 1-12, 2008, : 4733 - 4738
  • [29] AN OPTIMAL PID CONTROLLER DESIGN FOR NONLINEAR CONSTRAINED OPTIMAL CONTROL PROBLEMS
    Li, Bin
    Teo, Kok Lay
    Lim, Cheng-Chew
    Duan, Guang Ren
    DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2011, 16 (04): : 1101 - 1117
  • [30] Design of TLBO-based Optimal Fuzzy PID controller for magnetic levitation system
    Cho J.-H.
    Kim Y.T.
    Transactions of the Korean Institute of Electrical Engineers, 2017, 66 (04): : 701 - 708