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
  • [1] Trajectory tracking wireless control of an asymmetric state constrained robotic pendulum based on electromagnetic actuators
    Perez-San Lazaro, Rafael
    Fuentes-Aguilar, Rita Q.
    Chairez, Isaac
    PROCEEDINGS OF THE 2022 XXIV ROBOTICS MEXICAN CONGRESS (COMROB), 2022, : 7 - 12
  • [2] Trajectory tracking of piezoelectric actuators using state-compensated iterative learning control
    Lee, Fu-Shin
    Chien, Chiang-Ju
    Wang, Jhen-Cheng
    JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2007, 18 (06) : 555 - 567
  • [3] Trajectory tracking for the chaotic pendulum using PI control law
    Perez, J.
    Perez, J. P.
    Rdz, F.
    Flores, A.
    REVISTA MEXICANA DE FISICA, 2013, 59 (05) : 471 - 477
  • [4] State-restricted adaptive control of a multilevel rotating electromagnetic mechanical flexible device using electromagnetic actuators
    Lazaro, Rafael Perez-San
    Mendoza-Bautista, Karen Jazmin
    Fuentes-Aguilar, Rita Q.
    Chairez, Isaac
    ISA TRANSACTIONS, 2024, 155 : 346 - 360
  • [5] Trajectory Tracking Control of the Planar Inverted Pendulum
    Mou, Shu-Juan
    Liu, Feng
    2015 IEEE ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2015, : 364 - 368
  • [6] On Trajectory Tracking Control of the Inertia Wheel Pendulum
    Moreno-Valenzuela, Javier
    Aguilar-Avelar, Carlos
    Puga-Guzman, Sergio
    2014 INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2014, : 572 - 577
  • [7] Adaptive Tracking Control of Spacecraft Using Magnetic Actuators
    Guan, Zexin
    Wang, Zhonghua
    INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 2, PROCEEDINGS, 2009, : 676 - 679
  • [8] Trajectory Tracking Control of a Double-pendulum System
    Briceno Perez, Jose Luis
    Rodriguez Herrera, Carlos Francisco
    2018 IEEE 2ND COLOMBIAN CONFERENCE ON ROBOTICS AND AUTOMATION (CCRA), 2018,
  • [9] Trajectory Tracking for Wheeled Inverted Pendulum Robot using Tilt Angle Control
    Phaoharuhansa, Danai
    Shimada, Akira
    39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013), 2013, : 4288 - 4293
  • [10] Variable Gains Control for Unmanned Helicopter Trajectory Tracking
    Chen, Zhi
    Tu, Xiaowei
    Xing, Li
    Fu, Jian
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 2742 - 2748