Title :
Optimal estimation and control of an environmental plant growth chamber
Author :
Vickers, Edward H. ; Bennett, John E.
Author_Institution :
Clemson Univ., SC, USA
Abstract :
A method of controlling the carbon dioxide concentration in an environmental plant growth chamber is proposed for use in investigations of the effect of CO2 concentration on growth rate. A discrete stochastic linear model is developed, and a control law based on the tracking problem of optimal control is used for minimizing the tracking error and the control effort. A Kalman-Bucy filter algorithm utilizing solar energy is developed to estimate the system states. A computer simulation demonstrates the effectiveness of the control law for the growth chamber
Keywords :
Kalman filters; biological techniques and instruments; carbon compounds; chemical variables control; discrete systems; filtering and prediction theory; optimal control; stochastic systems; CO2 concentration; Kalman-Bucy filter algorithm; computer simulation; concentration control; discrete model; environmental plant growth chamber; growth rate effects; linear model; optimal control; optimal estimation; solar energy; stochastic model; tracking problem; Carbon dioxide; Error correction; Gaussian noise; Hardware; Open loop systems; Optimal control; Soil; State estimation; Temperature; Vectors;
Conference_Titel :
System Theory, 1989. Proceedings., Twenty-First Southeastern Symposium on
Conference_Location :
Tallahassee, FL
Print_ISBN :
0-8186-1933-3
DOI :
10.1109/SSST.1989.72432
