• DocumentCode
    3551089
  • Title

    Nanoscale path planning and motion control

  • Author

    Shakir, Huzefa ; Kim, Won-jong

  • Author_Institution
    Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2005
  • fDate
    8-10 June 2005
  • Firstpage
    3604
  • Abstract
    This paper addresses nanoscale path planning and motion control, which is essential in key nanomanufacturing applications such as microstereolithography (μSTL), dip-pen-nanolithography (DPN), and scanning applications for imaging and manipulation of nanoscale surface phenomena, with the magnetic-levitation (maglev) technology. We identified motion trajectories commonly used in industrial applications along with the challenges in optimal path planning to meet the nanoscale motion-control objectives and achieve precise positioning and maximum throughput simultaneously. Key control parameters in path planning are determined, and control design methodologies including a well-damped lead-lag controller and an optimal linear quadratic regulator are proposed to satisfy the positioning requirements. The proposed methodologies, individually and collectively, were implemented, and experimental results are presented in this paper to illustrate their effectiveness in planning optimal trajectories. The damped lead-lag controller exhibited the command overshoot of as small as 0.37%, and the multivariable LQ controller reduced the dynamic coupling between the axes by 97.1% as compared with the decoupled single-input-single-output (SISO) lead-lag controllers. The position resolution of 5 nm was achieved in x and y with the errors in command tracking as small as 4.5 nm. The maglev stage demonstrated excellent performances for the chosen nanomanufacturing applications in terms of position resolution and accuracy, and speed.
  • Keywords
    control system synthesis; linear quadratic control; magnetic levitation; motion control; multivariable control systems; nanopositioning; path planning; process control; control design; maglev stage; magnetic-levitation technology; motion control; multivariable LQ controller; nanomanufacturing; nanoscale path planning; optimal linear quadratic regulator; optimal path planning; optimal trajectory planning; precise positioning; well-damped lead-lag controller; Atomic force microscopy; Instruments; Magnetic hysteresis; Magnetic levitation; Manufacturing; Mechanical engineering; Motion control; Optimal control; Path planning; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2005. Proceedings of the 2005
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-9098-9
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2005.1470533
  • Filename
    1470533