Fuzzy identification of a greenhouse

Trabelsi, Amine; Lafont, Frédéric; Kamoun, Mohamed; Enea, Gilles

doi:10.1016/j.asoc.2006.06.009

Cited by 36 publications

(20 citation statements)

References 22 publications

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“…However, this type of control possesses a disadvantage, namely the phenomenon of chattering. Various solutions have been suggested in the research literature to decrease chattering [1,9].…”

Section: Introductionmentioning

confidence: 99%

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

Lammari

Bounaama

Ouradj

et al. 2020

Journal of Thermal Engineering

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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.

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“…However, this type of control possesses a disadvantage, namely the phenomenon of chattering. Various solutions have been suggested in the research literature to decrease chattering [1,9].…”

Section: Introductionmentioning

confidence: 99%

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

Lammari

Bounaama

Ouradj

et al. 2020

Journal of Thermal Engineering

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“…The major difficulty with this technique is the model transition. Indeed, many techniques of modeling and identification based on FLS are often used for these types of systems (Trabelsi et al, 2007). Some controllers base their operation on the aforementioned paradigm, as proposed by Castañeda-Miranda et al (2006) who implemented a FLS on a field programmable gate array (FPGA) to control the temperature of the greenhouse microclimate or Kurata & Eguchi (1990) who applied this theory in crop management for protected agriculture.…”

Section: Conventional Greenhouse Climate Controlmentioning

confidence: 99%

“…Control systems applied in precision agriculture control theory such as: proportional, integral and derivative (PID) controllers, artificial intelligence (AI) such as fuzzy logic systems (FLS), artificial neural networks (ANNs) and genetic algorithms (GAs) to advanced techniques like predictive, adaptive, robust and non-linear control (Castañeda-Miranda et al, 2006). The aforementioned control techniques have been widely utilized on research (Trabelsi et al, 2007;Bennis et al, 2008).…”

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confidence: 99%

Review. Advantages and disadvantages of control theories applied in greenhouse climate control systems

Duarte-Galvan

Torres-Pacheco

Guevara-González

et al. 2012

Span. j. agric. res.

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Today agriculture is changing in response to the requirements of modern society, where ensuring food supply through practices such as water conservation, reduction of agrochemicals and the required planted surface, which guarantees high quality crops are in demand. Greenhouses have proven to be a reliable solution to achieve these goals; however, a greenhouse as a means for protected agriculture has the potential to lead to serious problems. The most of these are related to the inside greenhouse climate conditions where controlling the temperature and relative humidity (RH) are the main objectives of engineering. Achieving appropriate climate conditions to ensure high yield and quality crops reducing energy consumption have been the objective of investigations for some time. Different schemes in control theories have been applied in this field to solve the aforementioned problems. Therefore, the objective of this paper is to present a review of different control techniques applied in protected agriculture to manage greenhouse climate conditions, presenting advantages and disadvantages of developed control platforms in order to suggest a design methodology according to results obtained from different investigations.Additional key words: controller; conventional control; optimal control; precision agriculture; protected agriculture. ResumenRevisión. Ventajas y desventajas de los sistemas de control climático aplicados en agricultura de precisión Hoy en día la agricultura está cambiando de acuerdo a las necesidades de la nueva sociedad. Las nuevas tendencias son asegurar la producción de alimentos a través de prácticas tales como ahorro de agua, reducción en el uso de agroquímicos y el espacio requerido para sembrar los cultivos mientras se garantiza la alta calidad de los cultivos. Los invernaderos han demostrado ser una solución viable para garantizar estos objetivos. Sin embargo, el uso de un invernadero conlleva serios problemas. Los más importantes están relacionados con las condiciones del microclima dentro del invernadero, donde el objetivo de la ingeniería es controlar la temperatura y humedad relativa (RH). Alcanzar las condiciones adecuadas del microclima para garantizar la alta productividad y calidad de los cultivos mientras se reducen los consumos de energía ha sido el objetivo de diversos investigadores a través del tiempo. Diversos esquemas de teoría de control han sido aplicados con el objetivo de resolver los problemas antes mencionados. Por lo tanto, el objetivo de este artículo es presentar una revisión de las diferentes técnicas de control aplicadas en agricultura de precisión para manejar las condiciones del microclima del invernadero, presentando las ventajas y desventajas de los sistemas desarrollados con la finalidad de proponer una metodología de diseño de acuerdo a los resultados obtenidos de las diferentes investigaciones.

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“…The classical fuzzy controller uses the fuzzy set theory to directly convert the language rules formed by expert knowledge or operator's experience into automatic control strategy (usually the fuzzy rules table) which doesn't rely on the accurate mathematic model of controlled object but use its language knowledge model to design and modify the control algorithm [6,7]. When the controlled deviation is very large, it hasn't too large significance for the output by formula regulation which inversely produces integral saturation.…”

Section: Fuzzy Controlmentioning

confidence: 99%

“…With technical progress, the greenhouses have become a production means used to control the crop environment in order to obtain higher quality [1]. To achieve environmental conditions favorable for plant growth, greenhouses are designed with various components, structural shapes, and numerous types of glazing materials.…”

Section: Introductionmentioning

confidence: 99%

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

Wang

Lin

Feng

et al. 2013

Computer and Computing Technologies in Agriculture VI

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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.

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Fuzzy identification of a greenhouse

Cited by 36 publications

References 22 publications

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

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

Review. Advantages and disadvantages of control theories applied in greenhouse climate control systems

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

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