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Two-Dimensional Feedback Control and Spatio-temporal Estimation

Undergraduate #441
Discipline: Technology and Engineering
Subcategory: Physics (not Nanoscience)
Session: 4

Kendale Washington - California State University at San Bernardino
Co-Author(s): Nathan Rittenhouse, California State University at San Bernardino, San Bernardino, California



We are presenting a method for creating and maintaining a defined temperature profile across a two-dimensional surface using PID feedback and spatio-temporal control. Using a high-power instructional video projector focused to a relatively small area as the power source, and an infrared imaging camera to measure the temperature field, we implement feedback algorithms to control the temperature of the entire field. The first step, which we have accomplished, has been to implement proportional integral derivative (PID) control in parallel for all of the pixels, in a purely temporal fashion. The next step, which we are in the process of implementing, is to include a computationally compact Green’s function feed- forward estimator to couple information about the neighboring pixels into the control algorithm, and thus improve the control fidelity, both spatially and temporally. This approach to spatial distributed control has applications beyond simple thermal diffusive systems. In particular, it shows promise for suppressing wave-like modes in resonant systems.

Funder Acknowledgement(s): National Science Foundation #: 1345163

Faculty Advisor: Dr. Paul Dixon, pdixon@csusb.edu

Role: For this research project, I built the hardware to hold the aluminum surface, optical lens and align the infrared camera along with the necessary insulation from outside heat sources. I developed software using LabVIEW integrating PID feedback into our data acquisition and manipulation system, setting up and running experiments to determine decay and diffusivity constants associated with our aluminum surface, and creating a parser that analyzes previously acquired data.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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