On control of transport in Brownian ratchet mechanisms

Subhrajit Roychowdhury, Govind Saraswat, Srinivasa Salapaka, Murti Salapaka

Research output: Contribution to journalArticle

Abstract

Engineered transport of material at the nano/micro scale is essential for the manufacturing platforms of the future. Unlike conventional transport systems, at the nano/micro scale, transport has to be achieved in the presence of fundamental sources of uncertainty such as thermal noise. Remarkably, it is possible to extract useful work by rectifying noise using an asymmetric potential; a principle used by Brownian ratchets. In this article a systematic methodology for designing open-loop Brownian ratchet mechanisms that optimize velocity and efficiency is developed. In the case where the particle position is available as a measured variable, closed loop methodologies are studied. Here, it is shown that methods that strive to optimize velocity of transport may compromise efficiency. A dynamic programming based approach is presented which yields up to three times improvement in efficiency over optimized open loop designs and 35% better efficiency over reported closed loop strategies that focus on optimizing velocities.

Original languageEnglish (US)
Pages (from-to)76-86
Number of pages11
JournalJournal of Process Control
Volume27
DOIs
StatePublished - Mar 2015

Keywords

  • Colloidal self-assembly
  • Dynamic programming
  • Flashing ratchet
  • Optimization
  • Stochastic systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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