Predictive Control Algorithm Using Laguerre Functions for Greenhouse Temperature Control, Mohamed Outanoute, Abdelouahed Selmani

Guerbaoui, M.; Ed-Dahhak, Abdelali; Lachhab, Abdeslam; Bouchikhi, Benachir

doi:10.14257/ijca.2018.11.10.02

IJCA

2018

DOI: 10.14257/ijca.2018.11.10.02

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Predictive Control Algorithm Using Laguerre Functions for Greenhouse Temperature Control, Mohamed Outanoute, Abdelouahed Selmani

M. Guerbaoui¹,

Abdelali Ed-Dahhak²,

Abdeslam Lachhab³

et al.

Abstract: In this paper, a discrete time predictive control (DMPC) algorithm using Laguerre orthonormal functions based model was proposed for controlling the temperature under the greenhouse system. In order to design the controller, a state-space model of the temperature of the system is identified. The observer can be designed using concepts of Kalman filtering, which consider stochastic disturbance in the process and/or measurements. The efficiency of the DMPC method is established, due to a particular choice of the… Show more

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Cited by 4 publications

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“…In addition, the physical constraints subjected to the greenhouse climate must be incorporated into the controller design. Model predictive control is a strategy that includes constraints in control law formulation [17]- [20].…”

mentioning

confidence: 99%

Linear matrix inequalities tool to design predictive model control for greenhouse climate

Moufid

Boutchich²,

Bennis³

2023

IJECE

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<span lang="EN-US">Modeling and regulating the internal climate of a greenhouse have been a challenge as it is a complex and time variant system. The main goal is to regulate the internal climate considering the difference between nighttime and diurnal phases of the day. To depict the comportment of the greenhouse, a multi model approach based on two multivariable black box models have been proposed representing the diurnal and nighttime phases of the day. The least-squares method is utilized to identify the parameters of these two models based on an experimental collected data. We have shown that these two models are more representative than one model to describe the dynamic behavior of the greenhouse. The second contribution is to control the internal temperature and hygrometry respecting constraints on actuators and controlled variables. For this purpose, a constrained model predictive control scheme based on the multi-modeling approach have been developed. The optimization problem of the control law is transformed to a convex optimization problem includes linear matrix inequalities (LMI). The simulation results show that the adopted control method of indoor climate allows rapid and precise tracking of set points and rejects effectively the external disturbances affecting the greenhouse.</span>

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confidence: 99%

Linear matrix inequalities tool to design predictive model control for greenhouse climate

Moufid

Boutchich²,

Bennis³

2023

IJECE

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Active Flutter Suppression of a Two-Dimensional Wing Using Linear Quadratic Gaussian Optimal Control

Darabseh

Tarabulsi

Mourad

2022

Int. J. Str. Stab. Dyn.

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This paper aims to utilize the modern control theory in designing an active flutter suppression controller for a two-dimensional wing with a flap. In this study, the wing’s pitch–plunge linear aeroelastic response, in addition to the control flap motion, was modeled using Lagrange’s energy method, and Theodorsen’s classic unsteady aerodynamic theory. The derived mathematical model was represented in state-space so the modern control techniques can be implemented. The open-loop system was analyzed, and the flutter speed for a selected experimental-wing model was calculated. For model verification purposes, the open-loop simulation results were compared to an experimental study from the literature. Next, a linear quadratic Gaussian (LQG) compensator with integral action was designed and tuned using MATLAB[Formula: see text] simulation environment to reach the best possible performance at a selected speed in the flutter region, where the results have proven excellent performance for this kind of controller in flutter suppression, as the stable flight region has successfully been extended by 29%.

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Discrete-Time Model Predictive Controller Using Laguerre Functions for Active Flutter Suppression of a 2D wing with a Flap

2022

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In this paper, a discrete-time model predictive controller using Laguerre orthonormal function-based (LMPC) for active flutter suppression of a two-dimensional wing with a flap is presented. In this work, a linear mathematical state-space model for the pitch, plunge, and flap degrees of freedom under unsteady aerodynamics is derived and used to determine the linear flutter velocity and frequency of the parameters of a selected experimental wing. To verify the model, the open-loop simulation results are compared to an experimental study using the same wing from the literature. The state-space system is then discretized and LMPC with a Kalman filter is designed and tuned using the MATLAB® simulation environment at a selected speed in the linear flutter region. The predictive control advantage of dealing with input constraints in a systematic manner is explored through a quantitative analysis of the response of both constrained and unconstrained LMPC controllers. The results indicate that theoretically both cases can give excellent performance. However, the input trajectory generated by the unconstrained LMPC is very aggressive in a way that it is considered impractical when compared to the physical limits of an experimental actuator from the literature. The potential of LMPC to achieve a reasonable performance at a significantly lower computational cost compared to the classical model predictive controller (MPC) is investigated by measuring the time required by the same computer to compute the control trajectory for both controllers. The data suggest that LMPC requires remarkably low computational power, which makes it an excellent choice for fast aeroelastic applications.

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Predictive Control Algorithm Using Laguerre Functions for Greenhouse Temperature Control, Mohamed Outanoute, Abdelouahed Selmani

Cited by 4 publications

References 12 publications

Linear matrix inequalities tool to design predictive model control for greenhouse climate

Linear matrix inequalities tool to design predictive model control for greenhouse climate

Active Flutter Suppression of a Two-Dimensional Wing Using Linear Quadratic Gaussian Optimal Control

Discrete-Time Model Predictive Controller Using Laguerre Functions for Active Flutter Suppression of a 2D wing with a Flap

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