Constrained Ga Pi Sliding Mode Control of Indoor Climate Coupled Mimo Greenhouse Model

Abstract

High accuracy trajectory tracking with constrained inputs is challenging topic in greenhouse indoor environment control. This is due to nonlinearities and inputs/outputs coupling present in physical model of greenhouse. The objective of this study is about the problem of identification and control of a Multi-Input Multi-Output (MIMO) greenhouse process. Proportional Integral (PI) and sliding mode controllers (SMC) are used in conjunction so that estimated outputs tracks desired trajectories with good performance as near as possible in spite of coupled dynamics and outside disturbances climate. To reflect the practical aspect, the constraints of the process and control elements were taken into account .The results demonstrate the feasibility of PISMC control method. Simulation has been done in the environment of Matlab and Simulink; it shows that combined controllers are capable to manage successfully the microclimate of greenhouse.

Energy saving by LED lighting in greenhouses : A process-based modelling approach

“…In these cases, we used information from the previous publication to analyze the model composition, inheritance and validation. This was done for Ahamed et al (2018c) by also considering Ahamed et al (2018b); for Lammari et al (2020) by including Lammari et al (2012); and for Esmaeli & Roshandel (2020) with Esmaeli & Roshandel (2017).…”

“…Some of the differences and similarities between models can be explained by the model inheritance chart (Figure 2.5). For example, it can be seen that the models of Katzin et al (2020b) (Chapter 3) and of Righini et al (2020) were both extensions of and that the models described in Peŕez-González et al (2018) and in Lammari et al (2020) both originated with Boulard et al (1996). The models used by Mohamed & Hameed (2018), Gharghory (2020), and Subin et al (2020) all originated with the model of Albright et al (2001).…”