MIMO Predictive Control of Temperature and Humidity Inside a Greenhouse Using Simulated Annealing (SA) as Optimizer of a Multicriteria Index

Correct climate control improves the quality of productions in greenhouses. Those control techniques that do not take into account the non-linear and multivariable features of the climate in the greenhouse, cannot achieve good performance (set-points will not be accomplished). This paper presents a Predictive Contro based technique using a mathematical model of the climate behaviour and Simulated Annealing as optimizer. Results show that this technique can be useful when dealing with non-linear and multivariable plants, even if constraints in the control actions are considered.