Comparative Study of Optimization Techniques for Tuning of PI Gains for Greenhouse Climate Control

A Sangwan, A Gupta, D Tiwari… - … on Computing, Power …, 2019 - ieeexplore.ieee.org
Greenhouses are highly nonlinear, non-isolated systems which are very difficult to model
and control. For desired plant growth, such greenhouses demand a very specific form of …

Receding horizon based greenhouse air temperature control using grey wolf optimization algorithm

R Singhal, R Kumar - 2016 IEEE Uttar Pradesh Section …, 2016 - ieeexplore.ieee.org
This work describes the receding horizon control of an inside air temperature of greenhouse
using the grey wolf optimization algorithms based on constraints on manipulative variables …

LabVIEW Software for Design and Implementation of Particle Swarm Optimization Tuned Controller for the Climate Control of Greenhouse System

SV Gandhi, M Thakker, R Gandhi - … : Proceedings of ICTIS 2022, Volume 1, 2022 - Springer
This paper presents the novel concept of simulation and optimized control of the
greenhouse system (GHS). The greenhouse is a climate control system with protection …

Towards controlling climatic parameters under greenhouse

Y El Afou, M Jammoukh… - 2018 4th International …, 2018 - ieeexplore.ieee.org
This paper presents the preliminary experimental results to control the temperature under
greenhouse. A new strategy of model control free techniques has been applied to the …

Design of an automated greenhouse temperature controller; a renewable, robust and cost effective scheme

T Nazir, M Arslan, US Khan - 2019 5th International …, 2019 - ieeexplore.ieee.org
Smart and automated greenhouse system is the solution of current food and agronomy
related threats with growing demands and population upraise. Keeping optimal ambient …

Greenhouse climate control enhancement by using genetic algorithms

EH Gurban, TL Dragomir, GD Andreescu - Journal of Control …, 2014 - ceai.srait.ro
This paper develops a control system for greenhouse climate with PID controllers tuned
based on genetic algorithms. The greenhouse climate nonlinear model with dead-time and …

Model-based predictive control of greenhouse climate for reducing energy and water consumption

X Blasco, M Martínez, JM Herrero, C Ramos… - … and electronics in …, 2007 - Elsevier
This work focuses on development of control algorithms by incorporating energy and water
consumption to maintain climatic conditions in greenhouse. Advanced control algorithms …

NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances

H Hu, L Xu, ED Goodman, S Zeng - Neural Computing and Applications, 2014 - Springer
The traditional tuning scheme of proportional, integral, and derivative (PID) controller
parameters usually lay more emphasis on control performances than economic profits. As a …

Multi-objective tuning of nonlinear pid controllers for greenhouse environment using evolutionary algorithms

H Hu, L Xu, R Wei, B Zhu - IEEE Congress on Evolutionary …, 2010 - ieeexplore.ieee.org
This paper investigates the issue of PID-controller parameters tuning for a greenhouse
climate control system using Evolutionary Algorithms based on multiple performance …

[PDF][PDF] Modeling a fuzzy logic controller to simulate and optimize the greenhouse microclimate management using MATLAB SIMULINK

D Faouzi, N Bibi-Triki, B Draoui… - International Journal of …, 2017 - researchgate.net
The socio-economic evolution of populations has in recent decades a rapid and multiple
changes, including dietary habits that have been characterized by the consumption of fresh …