Visual Servo Feedback Control of a Novel Large Working Range Micro Manipulation System for Microassembly

This paper presents a novel micro manipulation system based on visual servo feedback control, which is composed of a micro/nano positioning stage with large workspace, a micro gripper, and a microscope-based visual servo system. The positioning stage is featured with compliant flexure-based totally decoupled characteristics, which is driven by electromagnetic actuators. The gripper is designed with its arms moving completely parallel, which has a large displacement of gripping range. In this research, the gripper is mounted onto the micro positioning stage to form a micro-hand dedicated to micro assembly application. A microscope is adopted to observe this tiny view field and capture the information about the position of the gripping fingers and the objects. Meanwhile, a small piece of silver wire with a diameter of about 30 microns is used as the micro part. The positioning information about tips of the gripping fingers and the object can be captured via the digital microscope and processed by a novel rapid identification method. A kind of visual servo feedback tracking and gripping control algorithm is developed. The algorithm is validated through experiments by realizing the task of picking up a small piece of silver wire then placing it to a new place precisely.

[1]  David Zhang,et al.  Closed-form compliance equations of filleted V-shaped flexure hinges for compliant mechanism design , 2010 .

[2]  Takashi Yumura,et al.  Electromagnetic Actuator Control: A Linear Parameter-Varying (LPV) Approach , 2007, IEEE Transactions on Industrial Electronics.

[3]  Yangmin Li,et al.  Mobility and kinematic analysis of a novel dexterous micro gripper , 2012, 2012 IEEE International Conference on Robotics and Automation.

[4]  Yangmin Li,et al.  Modeling and High Dynamic Compensating the Rate-Dependent Hysteresis of Piezoelectric Actuators via a Novel Modified Inverse Preisach Model , 2013, IEEE Transactions on Control Systems Technology.

[5]  Yu Sun,et al.  Nanopositioning of a multi-axis microactuator using visual servoing , 2002 .

[6]  S. Verma,et al.  Multi-axis maglev nanopositioner for precision manufacturing and manipulation applications , 2005, IEEE Transactions on Industry Applications.

[7]  Han Zhang,et al.  Microassembly Fabrication of Tissue Engineering Scaffolds With Customized Design , 2008, IEEE Transactions on Automation Science and Engineering.

[8]  Peter I. Corke,et al.  A tutorial on visual servo control , 1996, IEEE Trans. Robotics Autom..

[9]  Guilin Yang,et al.  A flexure-based electromagnetic linear actuator , 2008, Nanotechnology.

[10]  Lu Ren,et al.  Vision-Based 2-D Automatic Micrograsping Using Coarse-to-Fine Grasping Strategy , 2008, IEEE Transactions on Industrial Electronics.

[11]  Brahim Tamadazte,et al.  Robotic Micromanipulation and Microassembly Using Monoview and Multiscale Visual Servoing , 2011, IEEE/ASME Transactions on Mechatronics.

[12]  Peter I. Corke,et al.  Dynamic effects in visual closed-loop systems , 1996, IEEE Trans. Robotics Autom..

[13]  Mei-Yung Chen,et al.  A New Design of a Submicropositioner Utilizing Electromagnetic Actuators and Flexure Mechanism , 2010, IEEE Transactions on Industrial Electronics.

[14]  M. L. Culpepper,et al.  Design of Contoured Thermomechanical Actuators and Pulsing Actuation to Enhance Dynamic Performance , 2012, Journal of Microelectromechanical Systems.

[15]  Yangmin Li,et al.  Hybrid control approach to the peg-in hole problem , 1997, IEEE Robotics Autom. Mag..

[16]  Qingsong Xu,et al.  A Novel Piezoactuated XY Stage With Parallel, Decoupled, and Stacked Flexure Structure for Micro-/Nanopositioning , 2011, IEEE Transactions on Industrial Electronics.

[17]  J.K. Mills,et al.  Automatic Microassembly Using Visual Servo Control , 2008, IEEE Transactions on Electronics Packaging Manufacturing.

[18]  Yu Zhou,et al.  Integrating Optical Force Sensing with Visual Servoing for Microassembly , 2000, J. Intell. Robotic Syst..

[19]  Qingsong Xu,et al.  Design and Analysis of a Totally Decoupled Flexure-Based XY Parallel Micromanipulator , 2009, IEEE Transactions on Robotics.

[20]  Yu Ge,et al.  Six-DOF micro-manipulator based on compliant parallel mechanism with integrated force sensor , 2011 .

[21]  Dan Zhang,et al.  Design optimization of a spatial hybrid mechanism for micromanipulation , 2011 .

[22]  Peter I. Corke The Machine Vision Toolbox: a MATLAB toolbox for vision and vision-based control , 2005, IEEE Robotics & Automation Magazine.

[23]  Yangmin Li,et al.  Optimal Design, Fabrication, and Control of an $XY$ Micropositioning Stage Driven by Electromagnetic Actuators , 2013, IEEE Transactions on Industrial Electronics.

[24]  Bradley J. Nelson,et al.  Autofocusing algorithm selection in computer microscopy , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[25]  B.R. Donald,et al.  Planar Microassembly by Parallel Actuation of MEMS Microrobots , 2008, Journal of Microelectromechanical Systems.

[26]  Yangmin Li,et al.  Design and analysis of a novel 6-DOF redundant actuated parallel robot with compliant hinges for high precision positioning , 2010 .

[27]  Alessandro Astolfi,et al.  Two solutions to the adaptive visual servoing problem , 2001, IEEE Trans. Robotics Autom..

[28]  Qingsong Xu,et al.  Adaptive Sliding Mode Control With Perturbation Estimation and PID Sliding Surface for Motion Tracking of a Piezo-Driven Micromanipulator , 2010, IEEE Transactions on Control Systems Technology.

[29]  David Zhang,et al.  Three flexure hinges for compliant mechanism designs based on dimensionless graph analysis , 2010 .

[30]  Harvey Lipkin,et al.  Uncalibrated dynamic visual servoing , 2004, IEEE Transactions on Robotics and Automation.

[31]  M. Paindavoine,et al.  Four d.o.f. Piezoelectric Microgripper Equipped With a Smart CMOS Camera , 2012, Journal of Microelectromechanical Systems.

[32]  Bradley J. Nelson,et al.  Micropositioning of a weakly calibrated microassembly system using coarse-to-fine visual servoing strategies , 2000 .

[33]  Yunhui Liu,et al.  Asymptotic trajectory tracking of manipulators using uncalibrated visual feedback , 2003 .

[34]  Muneeb Ullah Khan,et al.  A Long Stroke Electromagnetic $XY$ Positioning Stage for Micro Applications , 2012, IEEE/ASME Transactions on Mechatronics.

[35]  Yangmin Li,et al.  Optimal design of a novel micro-gripper with completely parallel movement of gripping arms , 2011, 2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM).

[36]  Zhang Yi,et al.  Vision-Servo System for Automated Cell Injection , 2009, IEEE Transactions on Industrial Electronics.

[37]  Yong Zhang,et al.  Active Release of Microobjects Using a MEMS Microgripper to Overcome Adhesion Forces , 2009, Journal of Microelectromechanical Systems.

[38]  Won-jong Kim,et al.  A Novel Low-Power Linear Magnetostrictive Actuator With Local Three-Phase Excitation , 2010, IEEE/ASME Transactions on Mechatronics.

[39]  M. Paindavoine,et al.  4 dof Piezoelectric Microgripper Equipped with a Smart CMOS Camera , 2012 .

[40]  B. Nelson,et al.  Monolithically Fabricated Microgripper With Integrated Force Sensor for Manipulating Microobjects and Biological Cells Aligned in an Ultrasonic Field , 2007, Journal of Microelectromechanical Systems.