Controlling the position of magnetic particles with magnetic traps for single molecule manipulation is difficult due to the complexity of the instrument. Currently, users are spending an immense amount of time designing compensators to satisfy their experimental conditions, yielding them minimal time to concentrate on their experiment. This paper discusses using adaptive Q-parametrized compensator methods to control the position of the particle. Incorporating adaptive control methods into the magnetic trap design can eliminate this issue by adjusting the controller parameters to ensure the performance of the instrument meets specific requirements. The adaptive Q-parametrized compensator structure has been incorporated into the design of the magnetic trap, resulting in the displacement of the particle being stabilized and the effects of the Brownian disturbances being reduced as the number of filter weight coefficients are increased.
Skip Nav Destination
ASME 2010 Dynamic Systems and Control Conference
September 12–15, 2010
Cambridge, Massachusetts, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4418-2
PROCEEDINGS PAPER
Controlling the Position of Magnetic Particles Using Adaptive Q-Parameterization
Jason G. Pickel,
Jason G. Pickel
University of Pittsburgh, Pittsburgh, PA
Search for other works by this author on:
Daniel G. Cole
Daniel G. Cole
University of Pittsburgh, Pittsburgh, PA
Search for other works by this author on:
Jason G. Pickel
University of Pittsburgh, Pittsburgh, PA
Daniel G. Cole
University of Pittsburgh, Pittsburgh, PA
Paper No:
DSCC2010-4048, pp. 81-88; 8 pages
Published Online:
January 25, 2011
Citation
Pickel, JG, & Cole, DG. "Controlling the Position of Magnetic Particles Using Adaptive Q-Parameterization." Proceedings of the ASME 2010 Dynamic Systems and Control Conference. ASME 2010 Dynamic Systems and Control Conference, Volume 2. Cambridge, Massachusetts, USA. September 12–15, 2010. pp. 81-88. ASME. https://doi.org/10.1115/DSCC2010-4048
Download citation file:
3
Views
Related Proceedings Papers
Related Articles
An Adjustable Model Reference Adaptive Control for a Flexible Launch Vehicle
J. Dyn. Sys., Meas., Control (July,2010)
Vibration Suppression in Cutting Tools Using a Collocated Piezoelectric Sensor/Actuator With an Adaptive Control Algorithm
J. Vib. Acoust (October,2010)
Position Control of Servomotors Using Neural Dynamic Sliding Mode
J. Dyn. Sys., Meas., Control (November,2011)
Related Chapters
Process Components
Bioprocessing Piping and Equipment Design: A Companion Guide for the ASME BPE Standard
Design for Displacement Strains
Process Piping: The Complete Guide to ASME B31.3, Fourth Edition
Improved Link Analysis Ranking with Bloom Filter
International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)