Model-Based Real-Time Simulator for Robotic Electromagnetic Actuation

被引:1
|
作者
Ko, Yeongoh [1 ]
Lee, Han-Sol [1 ]
Kim, Chang-Sei [1 ]
机构
[1] Chonnam Natl Univ, Sch Mech Engn, Gwangju 61186, South Korea
基金
新加坡国家研究基金会;
关键词
Magnetic fields; Magnetic cores; Coils; Robots; Mathematical models; Real-time systems; Saturation magnetization; Electromagnetic actuation; micro-nano robots; real-time off-line program; simulator-in-the-loop control; SYSTEM;
D O I
10.1109/LRA.2024.3372433
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
We present a real-time model-based simulator-in-the-loop control for a robotic electromagnetic actuator (EMA) in this letter. We first formulate a simplified magnetic field model applicable to a real-time simulator by using the Biot-Savart law and a mathematical approximation. Subsequently, we embedded this model in a real-time simulator developed in the ROS Gazebo environment. The simulator can compute the magnetic field at a point in under 5 ms with a 5.14% difference in the magnetic fields in the region of interest (30mm cube) compared to the finite-element model simulation. For the principal axis, the error from the actual measured value was less than 4%. To achieve simulator-in-the-loop control, we input the computed input current corresponding to each coil from the simulator to the real system. The dynamic motion of a magnetic capsule and a magnetic guidewire in the simulator is validated by comparing the real system response with that of the simulator. The experimental results show that the simulator exhibits a similar motion to that of the real system. Finally, the simulator-in-the-loop control demonstrates the synchronous movement of the capsule with 1-5(degrees) errors while conducting pitching angle feedback control, and magnetic guidewire control with 2.29 mm accuracy.
引用
收藏
页码:3870 / 3877
页数:8
相关论文
共 50 条
  • [31] Real-Time Recognition of Percussive Sounds by a Model-Based Method
    Simsekli, Umut
    Jylha, Antti
    Erkut, Cumhur
    Cemgil, Taylan
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2011,
  • [32] Model-Based Multiactuator Control for Real-Time Hybrid Simulation
    Phillips, Brian M.
    Spencer, Billie F., Jr.
    JOURNAL OF ENGINEERING MECHANICS-ASCE, 2013, 139 (02): : 219 - 228
  • [33] Model-based real-time robust controller for a small helicopter
    He, Miaolei
    He, Jilin
    Scherer, Sebastian
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 146
  • [34] A real-time model-based human motion analysis system
    Huang, CL
    Chung, CY
    2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL II, PROCEEDINGS, 2003, : 477 - 480
  • [35] Real-Time Model-Based Fault Detection and Isolation for UGVs
    A. Monteriù
    P. Asthana
    K. P. Valavanis
    S. Longhi
    Journal of Intelligent and Robotic Systems, 2009, 56
  • [36] Real-Time Model-Based Video Stabilization for Microaerial Vehicles
    Wilbert G. Aguilar
    Cecilio Angulo
    Neural Processing Letters, 2016, 43 : 459 - 477
  • [37] Model-based specification and execution of embedded real-time systems
    Schattkowsky, T
    Mueller, W
    DESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE AND EXHIBITION, VOLS 1 AND 2, PROCEEDINGS, 2004, : 1392 - 1393
  • [38] Model-Based Real-Time Testing of Embedded Automotive Systems
    Skruch, Pawel
    Buchala, Gabriel
    SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-ELECTRONIC AND ELECTRICAL SYSTEMS, 2014, 7 (02): : 337 - 344
  • [39] Model-based real-time optimization in continuous pharmaceutical manufacturing
    Damiri, Hazem
    Steinberger, Martin
    Kuchler, Lisa
    Azimi, Atabak
    Martinuzzi, Stefano
    Sagmeister, Peter
    Williams, Jason D.
    Koch, Stefan
    Tranninger, Markus
    Rehrl, Jakob
    Celikovic, Selma
    Sacher, Stephan
    Kappe, C. Oliver
    Horn, Martin
    Computers and Chemical Engineering, 2025, 192
  • [40] Real-time model-based SLAM using line segments
    Gee, Andrew P.
    Mayol-Cuevas, Walterio
    ADVANCES IN VISUAL COMPUTING, PT 2, 2006, 4292 : 354 - +