An observer based backstepping control for a greenhouse
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Date
2011
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Abstract
In this paper we use the backstepping approach to
control climate parameters of greenhouse. To get realistic
simulation, we use real weather data collected in the south region
of Algeria (Biskra). We control temperature, relative humidity
and CO2 concentration by acting on four variables such as
heating, ventilation, CO2 injection and water injection. However
as the CO2 sensors is not available, we use an nonlinear observer
based on temperature and steam density measurements, To get an
optimal controller, the multi- objective genetic algorithms based
on Non dominated Sorting Genetic Algorithms (NSGA)
techniques and Multi-Criteria Decision Analysis (MCDA)
approach are introduced.
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Keywords
Backstepping method, Lyapounov stability, Nonlinear observer, Multi-Criteria Decision Analysis, Non dominated, Sorting genetic algorithm