Trajectory tracking control with state restricted gains for a magnetic pendulum using electromagnetic actuators

被引:3
|
作者
Lazaro, Rafael Perez-San [1 ]
Fuentes-Aguilar, Rita [2 ]
Chairez, Isaac [2 ]
机构
[1] Tecnol Monterrey, Escuela Ingn & Ciencias, Campus Guadalajara, Guadalajara, Jalisco, Mexico
[2] Tecnol Monterrey, Inst Adv Mat Sustainable Mfg, Campus Guadalajara, Guadalajara, Jalisco, Mexico
关键词
Electromagnetic actuators; Simple pendulum; Magnetic actuation; Barrier Lyapunov function; DEVICE; PLA;
D O I
10.1016/j.isatra.2023.03.036
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Electromagnetic actuation results suitable for wireless driven motion, where the estimation of the force between magnetic elements is usually required. This force can lead to states where the magnetic-mechanical system remains fixed, requiring constraints to avoid the transgression of these states, and Barrier Lyapunov Functions (BLF) are useful for this purpose. This work presents an adaptive controller with BLF in a magnetic pendulum with state restrictions. It employs fixed electromagnets to induce motion on a pendulum with a permanent magnet as its bob. The force between the magnetic elements is obtained through approximation functions. A new implementation strategy for the control gains introduces the effect of state restrictions on the control action based on a control BLF. Results are analyzed in both simulations and experimental stages, which prove the advantages of employing BLF controllers in mechanical systems that require the avoidance of specific boundaries.& COPY; 2023 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:475 / 483
页数:9
相关论文
共 50 条
  • [41] Neural Adaptive Trajectory Tracking Control for a Magnetic Microrobot
    Liu Y.
    Wang H.
    Zhang J.
    Fan Q.
    Jiqiren/Robot, 2023, 45 (06): : 683 - 690
  • [42] On stability for state-lattice trajectory tracking control
    Ljungqvist, Oskar
    Axehill, Daniel
    Lofberg, Johan
    2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 5868 - 5875
  • [43] New Feedback Linearization-Based Control for Arm Trajectory Tracking of the Furuta Pendulum
    Aguilar-Avelar, Carlos
    Moreno-Valenzuela, Javier
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2016, 21 (02) : 638 - 648
  • [44] Trajectory Tracking of a One-DOF Manipulator using Multiple Fishing Line Actuators by Iterative Learning Control
    Ono, Shu
    Masuya, Ken
    Takagi, Kentaro
    Tahara, Kenji
    2018 IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT), 2018, : 467 - 472
  • [45] A trajectory planning and tracking control approach for obstacle avoidance of wheeled inverted pendulum vehicles
    Ning, Yigao
    Yue, Ming
    Yang, Lu
    Hou, Xiaoqiang
    INTERNATIONAL JOURNAL OF CONTROL, 2020, 93 (07) : 1735 - 1744
  • [46] Modelling and Trajectory Tracking Control of A 2-DOF Vision Based Inverted Pendulum
    Wang, Haoping
    Vasseur, Christian
    Koncar, Vladan
    Chamroo, Afzal
    Christov, Nicolai
    CONTROL ENGINEERING AND APPLIED INFORMATICS, 2010, 12 (03): : 59 - 66
  • [47] Tracking control of piezoceramic actuators by using preisach model
    Zhou, XF
    Yanga, SX
    Qi, GN
    Hu, XP
    ICMIT 2005: CONTROL SYSTEMS AND ROBOTICS, PTS 1 AND 2, 2005, 6042
  • [48] Practical Time-Delay Control With Adaptive Gains for Trajectory Tracking of Robot Manipulators
    Baek, Jaemin
    Cho, Soonwan
    Han, Soohee
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (07) : 5682 - 5692
  • [49] Recurrent-Neural-Network-Based Predictive Control of Piezo Actuators for Trajectory Tracking
    Xie, Shengwen
    Ren, Juan
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 24 (06) : 2885 - 2896
  • [50] Delayed Resilient Trajectory Tracking After Partial Loss of Control Authority over Actuators
    Bouvier, Jean-Baptiste
    Panag, Himmat
    Woollands, Robyn
    Ornik, Melkior
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2025, 48 (03) : 508 - 519