Name
Abstract | ||
|---|---|---|
Accurate measurements of photosynthesis are vital for understanding the response of our planet to climate change and developing novel strategies for improving food production. Since photosynthesis is sensitive to a myriad of inputs, including temperature, these measurements require precise control to produce meaningful and accurate data. This paper develops a biophysical model of energy balance in a leaf and environmental control system that incorporates plant physiology and the biophysical relationship between a leaf and its environment. This model is then parameterized for a commonly-used device used for measuring leaf photosynthesis. Feedback linearization is applied to this model to design a controller for leaf temperature. The model is validated and the controller is then implemented on actual measurements. The result is a family of more efficient control algorithms built from first-order principles governing the exchange of matter and energy between a leaf and its environment. To the best of our knowledge, this is the first attempt at developing such a control algorithm. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 AMERICAN CONTROL CONFERENCE (ACC) | Control algorithm,Photosynthesis,Control theory,Control theory,Computer science,Feedback linearization,Control engineering,Energy balance,Environmental control system,Water heating |
DocType | ISSN | Citations |
Conference | 0743-1619 | 1 |
PageRank | References | Authors |
0.35 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Philip E. Pare | 1 | 14 | 7.53 |
| Berkley J. Walker | 2 | 1 | 0.35 |
| Justin McGrath | 3 | 1 | 0.35 |