1. Backstepping-Based Multi-Criteria Decision Analysis for Greenhouse Control with Real Weather Data.
- Author
-
Belhani, A. and M'Sirdi, N. K.
- Subjects
AIR conditioning ,CLIMATE in greenhouses ,SIMULATION methods & models ,NONLINEAR programming ,MATHEMATICAL optimization ,CONTROL theory (Engineering) ,MATHEMATICAL models ,ALGORITHMS - Abstract
In this paper we use the backstepping approach to control climate parameters of greenhouse simulated trough effect of real weather data collected in the south region of Algeria (Biskra) for the period of June 2008. The greenhouse model is a sixth order nonlinear multivariable system. We consider the control of both temperature, relative humidity, CO2 concentration by acting on four control variables such as heating, ventilation, CO2 injection and water injection. To get an optimal controller, we try to solve a multi-objective problem. The multi- objective genetic algorithms based on Non dominated Sorting Genetic Algorithms (NSGA) techniques are used to get a set of optimal controllers. To choose one controller from the above set, we take into account the application of the Multi-Criteria Decision Analysis (MCDA) approach. [ABSTRACT FROM AUTHOR]
- Published
- 2009