A Greenhouse Control with Sectional-Control Strategy Based on MPT Intelligent Algorithm

Abstract

Abstract. The greenhouse are classified as complex systems such as large lag, multi-input multi-output (MIMO), non-linear and difficult to create mathematic model and so on, so it is difficult to implement classical control methods for this kind of process. A new sectional-control strategy is put forward. It uses different control modes for different deviation domains. The new strategy is based on MPT intelligent control algorithm which improves on the traditional PID algorithm and adds in self-adapting, fuzzy control, expert self-tuning etc intelligent control functions. When the deviation exceeds a certain domain, fuzzy control is used to prevent the saturated integral; when the deviation reduces to within a certain domain, MPT algorithm is used to reduce the overshooting during response process and eventually eliminate the residual. The application in greenhouse control shows that the sectional-control strategy makes the output tracing the set value correctly.

Design and Development of Intelligent Monitoring System for Plastic Tea Greenhouse

“…When the deviation reduces within a certain domain, selector switches to MPT algorithm to decrease the overshooting during responding and eventually eliminate the residual. Therefore the sectional strategy integrates the merits of MPT algorithm and fuzzy control to improve the sensitivity and accuracy and obtain the ideal control effect [12].…”

Chance-Constrained Stochastic Mpc of Greenhouse Production Systems with Parametric Uncertainty

“…A well-known practical control strategy is to maintain the ideal growing climate near steady levels via onoff rule-based control logic or PID controllers. However, these classic approaches lack the ability to effectively cope with the complex dynamics of greenhouse systems with multiple inputs multiple outputs, see e.g., Hamza et al (2019), Lafont et al (2013) and Wang et al (2013). Despite the developments of the PID control to the multiple inputs and multiple outputs (MIMO) systems, see e.g., Vázquez and Morilla (2002), Astrom et al (2001) and Saab (2017), it is still challenging to apply the PID control to greenhouse systems, since we need to consider the interactions between multiple inputs and outputs in the system with various constraints, which may require substantial tuning efforts for PID controllers.…”