Optimal feedback control of twin rotor MIMO system with a prescribed degree of stability

被引:11
|
作者
Choudhary, Santosh Kumar [1 ]
机构
[1] Manipal Univ, Manipal Inst Technol, Dept Instrumentat & Control Engn, Manipal, Karnataka, India
关键词
Optimal control; Linear-quadratic regulator; Dynamic modeling; System simulation; Twin rotor MIMO system;
D O I
10.1108/IJIUS-07-2016-0005
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Purpose - The purpose of this paper is to investigate an optimal control solution with prescribed degree of stability for the position and tracking control problem of the twin rotor multiple input-multiple output (MIMO) system (TRMS). The twin rotor MIMO system is a benchmark aerodynamical laboratory model having strongly non-linear characteristics and unstable coupling dynamics which make the control of such system for either posture stabilization or trajectory tracking a challenging task. Design/methodology/approach - This paper first describes the dynamical model of twin rotor MIMO system (TRMS) and then it adopts linear-quadratic regulator (LQR)-based optimal control technique with prescribed degree of stability to achieve the desired trajectory or posture stabilization of TRMS. Findings - The simulation results show that the investigated controller has both static and dynamic performance; therefore, the stability and the quick control effect can be obtained simultaneously for the twin rotor MIMO system. Originality/value - The articles on LQR optimal controllers for TRMS can also be found in many literatures, but the prescribed degree of stability concept was not discussed in any of the paper. In this work, new LQR with the prescribed degree of stability concept is applied to provide an optimal control solution for the position and tracking control problem of TRMS.
引用
收藏
页码:226 / 238
页数:13
相关论文
共 50 条
  • [21] Offset-Free Model Predictive Control of a Twin Rotor MIMO System (Extended Abstract)
    Ebirim, Kelechi
    Lecchini-Visintini, Andrea
    Rubagotti, Matteo
    Prempain, Emmanuel
    2022 UKACC 13TH INTERNATIONAL CONFERENCE ON CONTROL (CONTROL), 2022, : 114 - 115
  • [22] To Design Optimally Tuned FOPID Controller for Twin Rotor MIMO System
    Mishra, Sunil Kumar
    Purwar, Shubhi
    2014 STUDENTS CONFERENCE ON ENGINEERING AND SYSTEMS (SCES), 2014,
  • [23] On The Modeling of Twin Rotor MIMO System Using Chirp Inputs as Test Signals
    Paul, Parthish Kumar
    Jacob, Jeevamma
    ASIAN JOURNAL OF CONTROL, 2017, 19 (05) : 1731 - 1740
  • [24] An Engineering Educational Program Using "Twin Rotor MIMO System" Laboratory Platform
    Vrazhevsky, Sergey
    Kremlev, Artem
    Margun, Alexey
    SMART EDUCATION AND E-LEARNING 2019, 2019, 144 : 219 - 230
  • [25] Modelling of the Twin Rotor MIMO System (TRMS) Using the First Principles Approach
    Ezekiel, David Mohammed
    Samikannu, Ravi
    Oduetse, Matsebe
    2020 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI - 2020), 2020, : 385 - +
  • [26] Two Term Control Strategy For Position Control Of Twin Rotor System
    Singh, Sonal
    Purwar, Shubhi
    2017 4TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2017, : 926 - 931
  • [27] Feedback linearization and feedforward neural network control with application to twin rotor mechanism
    Lin, Chia-Wei
    Li, Tzuu-Hseng S.
    Chen, Chung-Cheng
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2018, 40 (02) : 351 - 362
  • [28] Nonlinear Control for Plants with Partial Information via Takagi-Sugeno models: an Application on the Twin Rotor MIMO System
    Gonzalez, Temoatzin
    Rivera, Pedro
    Bernal, Miguel
    2012 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTING SCIENCE AND AUTOMATIC CONTROL (CCE), 2012,
  • [29] Pitch orientation control of twin-rotor MIMO system using sliding mode controller with state varying gains
    Palepogu, Koteswara Rao
    Mahapatra, Subhasish
    JOURNAL OF CONTROL AND DECISION, 2024, 11 (02) : 211 - 221
  • [30] Disturbance observer based control of twin rotor aerodynamic system
    Ali, Hamid
    Ali, Ahsan
    Shaikh, Inam Ul Hasan
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2020, 28 (04) : 2213 - 2227