• DocumentCode
    3304656
  • Title

    Energy-optimal control of a particle in a dielectrophoretic system

  • Author

    Barve, Hrushikesh A. ; Banavar, Ravi N.

  • Author_Institution
    Syst. & Control Eng., IIT Bombay, Mumbai, India
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    3353
  • Lastpage
    3358
  • Abstract
    Dielectrophoresis (henceforth called as DEP) is an electrokinetics-based phenomenon, that involves the motion of a particle due to interaction between its dipole moment and a nonuniform electric field around it. This technique is very effective in particle manipulation and separation. Here we consider the control problem involved in moving a particle in the DEP system, from one specified location to another desired location. The voltage on the electrodes which generates the electric field, is the controlling parameter. Optimal control of the motion of a particle is a relevant engineering problem. The time-optimal version of this problem has already been discussed in the literature. The energy-optimal problem for the same system is attempted here. This effort involves a case-wise analysis of the necessary conditions on existence of optimal trajectories, obtained after applying Pontryagin´s maximum principle. An algorithm which would be useful to find an energy-optimal extremal and to simulate the same, is presented.
  • Keywords
    electric fields; electrodes; electrokinetic effects; electrophoresis; maximum principle; motion control; position control; DEP system; Pontryagin maximum principle; case-wise analysis; dielectrophoresis; dielectrophoretic system; dipole moment; electrode voltage; electrokinetics-based phenomenon; energy-optimal control; nonuniform electric field; optimal trajectory; particle manipulation; particle motion; particle separation; Control systems; Dielectrophoresis; Electrodes; Electrokinetics; Fluid dynamics; Motion control; Nonuniform electric fields; Optimal control; Phased arrays; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400135
  • Filename
    5400135