Vehicle rollover avoidance by application of gain-scheduled LQR controllers using state observers

被引:22
|
作者
Dal Poggetto, Vinicius F. [1 ]
Serpa, Alberto L. [1 ]
机构
[1] Univ Estadual Campinas, FEM Sch Mech Engn, DMC Dept Computat Mech, Campinas, Brazil
关键词
Rollover avoidance; active steering; LQR control; gain scheduling; yaw dynamics; vehicle safety;
D O I
10.1080/00423114.2015.1125005
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Many researches have been conducted in the area of control applied to vehicle dynamics, aiming at reducing the possibility of the occurrence of the type of accident known as rollover. In this research, based on a common nonlinear model and its linearisation, a method for properly selecting matrices for solving the Riccati equation considering different speeds was proposed. The method showed in which ways speed really influences the choice of controller gains. By developing the dynamic equations for the yaw- and roll-coupled motions and modelling of controllers and state observers, it is possible to compare the efficacy of this control strategy using both linear and nonlinear simulations using Matlab. Significant results were obtained regarding the reduction of the rollover coefficient for a double-lane change manoeuvre at different speeds, thus indicating advantages of using this controller in practical cases.
引用
收藏
页码:191 / 209
页数:19
相关论文
共 50 条
  • [41] A Simulation Study on Pressure Control in Oil Well Drilling Using Gain-Scheduled PID Controllers
    Alvarado-Silva, Carlos A.
    de Oliveira, Geraldo Cesar Rosario
    Gamboa, Alexander A. R.
    Gaytan-Reyna, Karina Liliana
    Guidi, Erick Siqueira
    Silva, Fernando de Azevedo
    Gamarra-Rosado, Victor Orlando
    APPLIED SCIENCES-BASEL, 2025, 15 (05):
  • [42] Gain-Scheduled for Aerial Vehicle Autopilot Design Using Fixed-Structure Synthesis
    Li, Bin
    Lin, Defu
    Tian, Song
    Yang, Zhe
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2018, 22 (03) : 316 - 322
  • [43] Gain-Scheduled State-Feedback Controllers Using Inexactly Measured Scheduling Parameters: H2 and H∞ Problems
    Sato, Masayuki
    Ebihara, Yoshio
    Peaucelle, Dimitri
    2010 AMERICAN CONTROL CONFERENCE, 2010, : 3094 - 3099
  • [44] Off-equilibrium linearisation and design of gain-scheduled control with application to vehicle speed control
    Johansen, TA
    Hunt, KJ
    Gawthrop, PJ
    Fritz, H
    CONTROL ENGINEERING PRACTICE, 1998, 6 (02) : 167 - 180
  • [45] Synthesis of Memory Gain-Scheduled Controllers for Discrete-Time LPV Systems
    Masubuchi I.
    Yabuki Y.
    SICE Journal of Control, Measurement, and System Integration, 2020, 13 (05) : 249 - 255
  • [46] Gain-scheduled control using fuzzy logic and its application to flight control
    Fujimori, A
    Tsunetomo, H
    Wu, ZY
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1999, 22 (01) : 175 - 178
  • [47] An enhanced velocity-based algorithm for safe implementations of gain-scheduled controllers
    Lhachemi, H.
    Saussie, D.
    Zhu, G.
    INTERNATIONAL JOURNAL OF CONTROL, 2017, 90 (09) : 1973 - 1989
  • [48] Gain-Scheduled H∞ for Vehicle High-Level Motion Control
    Kissai, Moad
    Monsuez, Bruno
    Tapus, Adriana
    Mouton, Xavier
    Martinez, Didier
    ICCMA 2018: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON CONTROL, MECHATRONICS AND AUTOMATION, 2018, : 97 - 104
  • [49] Design of Gain-Scheduled Strictly Positive Real Controllers Using Numerical Optimization for Flexible Robotic Systems
    Forbes, James Richard
    Damaren, Christopher John
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2010, 132 (03): : 1 - 7
  • [50] Gain-scheduled LQR control of an aerospace drive system with LC filter and long feeder cable
    Xie, Patrick
    Dewar, David
    Vakil, Gaurang
    Gerada, Chris
    2020 23RD INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2020, : 656 - 661