Near-Wall Ultraprecise Motion Control of a Magnetically Driven Scanning Microprobe in Aqueous Solutions

被引:0
作者
Meng, Ta-Min [1 ,2 ]
Long, Fei [1 ,3 ]
Menq, Chia-Hsiang [1 ,4 ]
机构
[1] Ohio State Univ, Dept Mech & Aerosp Engn, Columbus, OH 43210 USA
[2] Caterpillar, Peoria, IL 61523 USA
[3] Robo Med, Shenzhen 310000, Peoples R China
[4] Natl Tsing Hua Univ, Dept Power Mech Engn, Hsinchu 300044, Taiwan
关键词
Probes; Real-time systems; Drag; Visualization; Force; Actuators; Electromagnetic actuation; estimation; motion control; visual servoing; PARTICLE TRACKING; SYSTEM; IMPLEMENTATION; DESIGN;
D O I
10.1109/TIE.2024.3409910
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As an untethered scanning probe approaches a wall in aqueous solutions, the drag coefficient increases and approaches infinity, which challenges the precise motion control of the scanning probe near the wall. This article presents a real-time estimation of space-dependent drag coefficient and unknown disturbances for a magnetically driven scanning microprobe close to a wall in aqueous solutions. The estimated drag coefficient is used to update the motion gain with a time-varying discrete-time control law to achieve a prespecified control objective for ultraprecise motion control of the scanning probe near the wall. The control law and the estimator have been integrated into a previously developed visual servo control system to achieve ultraprecise motion control of the scanning probe close to wall surfaces. The motion control system has been realized using a high-speed field programmable gate array (FPGA) system. Experiments have confirmed that near-wall ultraprecise motion control of the scanning probe has been achieved. In experiments, the tracking error of the microprobe was close to a random error with zero mean due only to random thermal forces and measurement noise. In addition, the accuracy of real-time estimation of motion gain/drag coefficient was experimentally verified.
引用
收藏
页码:928 / 937
页数:10
相关论文
共 30 条
  • [1] [Anonymous], 1984, Probability, Random Variables and Stochastic Processes
  • [2] [Anonymous], 2004, The Langevin Equation, with Applications to Stochastic Problems in Physics, Chemistry and Electrical Engineering, DOI 10.1142/5343
  • [3] Visually Servoing Magnetic Intraocular Microdevices
    Bergeles, Christos
    Kratochvil, Bradley E.
    Nelson, Bradley J.
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2012, 28 (04) : 798 - 809
  • [4] Visual Tracking of Six-Axis Motion Rendering Ultraprecise Visual Servoing of Microscopic Objects
    Cheng, Peng
    Menq, Chia-Hsiang
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2018, 23 (04) : 1564 - 1572
  • [5] Real-time visual sensing system achieving high-speed 3D particle tracking with nanometer resolution
    Cheng, Peng
    Jhiang, Sissy M.
    Menq, Chia-Hsiang
    [J]. APPLIED OPTICS, 2013, 52 (31) : 7530 - 7539
  • [6] Real-Time Continuous Image Registration Enabling Ultraprecise 2-D Motion Tracking
    Cheng, Peng
    Menq, Chia-Hsiang
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (05) : 2081 - 2090
  • [7] Franklin G. F., 1998, Digital control of dynamic systems
  • [8] Thermal noise limitations on micromechanical experiments
    Gittes, F
    Schmidt, CF
    [J]. EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS, 1998, 27 (01): : 75 - 81
  • [9] Micro swimming mechanisms propelled by external magnetic fields
    Honda, T
    Arai, KI
    Ishiyama, K
    [J]. IEEE TRANSACTIONS ON MAGNETICS, 1996, 32 (05) : 5085 - 5087
  • [10] Robust Kalman filter for Descriptor systems
    Ishihara, Joao Y.
    Terra, Marco H.
    Campos, Jose C. T.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2006, 51 (08) : 1354 - 1358