Presentation Title

Two-Dimensional Feedback Control & Spatio-temporal Estimation

Faculty Mentor

Paul Dixon

Start Date

17-11-2018 12:30 PM

End Date

17-11-2018 2:30 PM

Location

CREVELING 70

Session

POSTER 2

Type of Presentation

Poster

Subject Area

physical_mathematical_sciences

Abstract

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.

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Nov 17th, 12:30 PM Nov 17th, 2:30 PM

Two-Dimensional Feedback Control & Spatio-temporal Estimation

CREVELING 70

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.