Page 66 - ASME DSCC 2015 Program
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Technical Program




              FRIDAY, OCTOBER 30                                     Active Wide-Band Vibration Rejection for Semiconductor
                                                                     Manufacturing Robots
              InVITED SESSIon                                        Invited session paper. DSCC2015-9776
              2-8-1  fA1  Vibration and Control of Smart Structures/Mech Systems
                                                                     Zining Wang, Tsinghua University, Beijing, China, Cong Wang, New Jersey
              George Bellows A                       10:00am–12:00pm
                                                                     Institute of Technology, Newark, NJ, United States, Masayoshi Tomizuka,
                                                                     University of California, Berkeley, CA, United States
              Session Organizer: Rifat Sipahi, Northeastern University
                                                                     Currently, the semiconductor manufacturing industries over the world are
              Session Organizer: Dumitru Caruntu, University of Texas Pan American
                                                                     upgrading from processing 300mm wafers to processing 450mm wafers.
              Session Organizer: lei Zuo, Virginia Tech
                                                                     In order to satisfy the requirements of producing and processing 450mm
              Session Organizer: Weidong Zhu, University of Maryland
                                                                     wafers, vibration control of wafer handling tools has to make new break-
              Session Organizer: Jiong Tang, University of Connecticut
                                                                     throughs.  This paper introduces an active wide-band vibration rejection
              Session Chair: Cornel Sultan, Virginia Tech
                                                                     method with a vibrotactile actuator and applies it to a wafer transfer robot.
              Session Co-Chair: Yiming Zhao, Halliburton
                                                                     Compared to conventional methods based on motor control of the robot, ac-
              Vibration Suppression Based on Adaptive feedforward Control With   tive vibration cancellation with a separate actuator does not risk compromis-
              Infinite Impulse response filter                       ing the tracking accuracy of wafer transfer motions.  A three-step controller
              Invited session paper. DSCC2015-9752                   synthesis scheme is developed by analyzing and combining the strengths of
                                                                     several control strategies.  Experimental validation shows a vibration reduc-
              Shiying Zhou, University of California Berkeley, Albany, CA, United States,
              Masayoshi Tomizuka, University of California, Berkeley, CA, United States  tion of more than 40% in energy and 30% in amplitude.
                                                                     Sensor fusion for Vibration Suppression Implemented on Arduino and
              This paper presents adaptive feedforward control for vibration suppression
                                                                     Raspberry Pi
              based on an infinite impulse response (IIR) filter structure. The vibration
                                                                     Invited session paper. DSCC2015-9816
              signal and the output signal are available for the algorithm to adaptively
              update the parameters of the vibration transmission path (VTP) dynamics.   Ryan Krauss, Southern Ill University, Edwardsville, IL, United States
              Two designs for parameter adaptation are proposed. They provide different   Arduino microcontrollers are popular and easy-to-program and can be a
              methods to get the necessary signals for parameter adaptation of the IIR   great option for student-owned control hardware or other embedded control
              filter which is different from the conventional finite impulse response (FIR)   applications.  This paper investigates whether or not an Arduino microcon-
              filter adaptation design. Performance of the proposed designs is compared   troller has the computational power to implement a sensor fusion observer/
              with the conventional Filtered-x Least Mean Square (FxLMS) method on a   controller for vibration suppression of a slewing beam. An additional
              hard disk drive (HDD) benchmark problem. The simulation results show that   approach based on combining the Arduino with a Raspberry Pi is also
              the proposed designs have smaller 3sigma value and peak to peak value at   investigated.  Somewhat surprisingly, an Arduino microcontroller is exper-
              steady state.                                          imentally shown to be capable of implementing a sensor fusion observer
              Dynamics Modeling of Clamping System Considering Characteristics of   and state-space controller for a system with seven states.  The floating-point
              the Clamping Contact Surface                           matrix calculations are completed in roughly 2 milli-seconds, implying that
              Invited session paper. DSCC2015-9753                   real-time feedback control could have update frequencies in the range of
                                                                     100-400 Hz.
              Yanmin Zhao, Jianfu Zhang, Pingfa feng, Yuan Ma, Tsinghua University,
              Beijing, China                                         Cross Coupling in Parallel Kinematic MEMS nanopositioners
                                                                     Contributed short paper. DSCC2015-9824
              In this work, we established the dynamics model of clamping system con-
              sidering the characteristics of clamping contact surface between workpiece   Mohammad Maroufi, S.o. reza Moheimani, The University of Newcastle,
              and chuck, while the influence of the characteristics of clamping contact   Callaghan, New South Wales, Australia
              surface on the clamping system was rarely considered in current research-  In this paper we study the origins of the cross coupling phenomenon in
              es. We obtained the dynamics parameters of the clamping system with   MEMS nanopositioners with a parallel kinematic mechanism. An analytical
              receptance coupling substructure analysis method. The frequency response   model is provided for a generic 2-DOF MEMS nanopositioner. The model
              function of clamping system at different cutting position was presented,   accounts for the potential mechanical asymmetries present in the device
              which is a foundation for analyzing the cutting stability. According to the   due to microfabrication imperfections. Simulations are performed based on
              study, we analyzed the role of clamping contact surface in deciding the   the obtained model and compared with experimental data from a previously
              dynamics of the clamping system and further influence on the prediction   reported MEMS nanopositioner. A close agreement is observed between
              accuracy of stable cutting limits in turning process.  the analytical and experimental results, leading to a better understanding of
                                                                     the phenomenon.







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