PID/Multi-Loop Control Strategy for Poultry House System Using Multi-Objective Ant Colony Optimization

Lahlouh, Ilyas; Akkary, Ahmed El; Sefiani, Nacer

doi:10.15866/ireaco.v11i5.14958

Cited by 7 publications

(6 citation statements)

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“…In this way, recent research studies show an inclination to the use of increasingly various advanced strategies for control techniques and simulation for a livestock building. From classical control theory like the conventional On/Off controller [ 11 ] to the modern control theory such as nonlinear adaptive temperature and humidity control in animal buildings [ 12 ]; modern supervisory control for closed broilers house [ 13 ]; predictive control for temperature and humidity in a naturally ventilated pig building [ 14 ] and optimal control essentially as Ant Colony Optimization (ACO) used to regulate the thermal requirement of the poultry house [ 15 , 16 ]. These methodologies are essential to actual engineering applications in poultry house production.…”

Section: Introductionmentioning

confidence: 99%

Experimental implementation of a new multi input multi output fuzzy-PID controller in a poultry house system

Lahlouh

Rerhrhaye

Elakkary

et al. 2020

Heliyon

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Broiler house systems are operated for the primary purpose of providing the appropriate conditions suitable to have a significant efficiency of animal production. The major environmental conditions in the poultry building are controlling the hygro-thermal parameters (temperature and relative humidity) and contaminant gases (NH 3 , CO 2). In this paper, a poultry house prototype is monitored and controlled using the Supervisory Control and Data Acquisition (SCADA) tool like LabVIEW. A full prototype is designed and an efficient hybrid control strategy is implemented to control in real-time the poultry house climate. In the suggested approach, a Multi-Input Multi-Output (MIMO) fuzzy logic controller (FLC) is combined with a proportional, integral, derivative (PID) controller tuned by fuzzy rules. The proposed method, fuzzy logic, and On/Off controllers were tested by experimental measures and studies in a prototype model over 30 days during hot climates. The comparison results showed that the root mean square error of temperature and relative humidity response with the MFLPID controller (0.8 C, 1.34%) were lower than that of FLC (1.16 C, 1.86%) and On/Off controller (2.09 C, 3.08%). The mean value of CO 2 concentration with MFLPID (2461 ppm) was lower than that of FLC (3294 ppm) and On/Off controller (3624 ppm). However, the mean value of NH 3 concentration was limited in small value (<5 ppm) for all controllers. The performance of the daily weight gained by the chickens for the MFLPID system was found to be 97%, which is higher than that of FLC (88%) and On/Off (80%). The energy consumption of the actuators can be saved at 43% and 14% with MFLPID compared to the On/Off and fuzzy controllers. These results indicate that the proposed control strategy is more efficient in the application of the poultry farming sector.

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Section: Introductionmentioning

confidence: 99%

Experimental implementation of a new multi input multi output fuzzy-PID controller in a poultry house system

Lahlouh

Rerhrhaye

Elakkary

et al. 2020

Heliyon

Self Cite

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“…The structure issue is to determine the feedback gain matrix Kx such that the closed-loop poles { 12 , ,..... n    } of the system (8) are appointed at the desired values.…”

Section: State Feedback Controllermentioning

confidence: 99%

“…Others studies related to the optimization control have been developed in the livestock building, for instance, the application of ASTESJ ISSN: 2415-6698 the ant colony optimization (ACO) for control broiler house under hot climates [8] and the utilization of the particle swarm optimization (PSO) in the managing of the thermal requirement of the poultry house.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of State-PID Feedback Controller for Poultry House System: Application for Winter Climate

Lahlouh¹,

Elakkary²,

Sefiani³

2020

Adv. sci. technol. eng. syst. j.

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The poultry house is the area where the chickens are maintained for the main purpose to improve the productivity and the environmental conditions for the broilers. The growth of chickens inside the poultry house can be affected by several criterions such as relative humidity and temperature. In this paper, we propose to design and implement experimentally a state-PID feedback controller in order to achieve a high stabilization of the dynamics systems of the poultry process. The purpose of this study is to keep the temperature and relative humidity at desired values and to eliminate the disturbance generated during the winter climate. The effectiveness of the proposed controller is evaluated through numerical examples and with an experimental poultry house prototype. To feature more the efficiency of the proposed approach implemented, a comparative study has been conducted between the results achieved by the proposed method and the state-PI feedback controller and that of a state feedback controller.

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“…Maintaining the desired micro-climate conditions within day-old chick brooding houses in tropical climates is a formidable challenge [12]- [14]. Poor management of ventilation systems, heating, and evaporative cooling can lead to undesirable temperature and humidity levels, culminating in issues like heat stress, respiratory problems, and increased energy consumption [15].…”

Section: Introductionmentioning

confidence: 99%

Efficient hygro-thermal and ammonia control in day-old chick brooding box using internet of things and Tsukamoto Fuzzy controller

Adek,

Ula,

Bustami

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Day-old chick brooding box systems play a pivotal role in optimizing chicken production by providing ideal environmental conditions. Controlling hygro-thermal parameters (temperature and relative humidity) and ammonia levels in poultry buildings is paramount. In this study, we introduce a novel approach where an Internet of Things (IoT) based prototype for day-old chick brooding box management is integrated with an Android application for real-time monitoring and control. The prototype incorporates an innovative hybrid control strategy, combining a Tsukamoto (TSUKAMOTO) fuzzy logic controller (FLC) with IoT. This approach is rigorously tested through experimental measures and studies over a 90-day period, encompassing both rainy and drought seasons. Comparative analysis reveals that the T-FLC controller outperforms conventional methods, exhibiting lower root mean square errors for temperature and relative humidity response (0.9°C, 1.35%) compared to the FLC (1.18°C, 1.89%) and On/Off controller (2.08°C, 3.07%). Importantly, all controllers maintain ammonia concentrations below 4 ppm. Furthermore, the T-FLC system demonstrates superior efficiency, achieving a daily weight gain rate of 95%, surpassing the FLC (89%) and On/Off controller (81%). Additionally, the T-FLC controller significantly reduces energy consumption, saving up to 40% compared to the On/Off controller and 16% compared to the fuzzy controller. These findings underscore the exceptional efficiency and effectiveness of the proposed control strategy for day-old chick brooding box applications, promising enhanced poultry production and sustainability.

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PID/Multi-Loop Control Strategy for Poultry House System Using Multi-Objective Ant Colony Optimization

Cited by 7 publications

References 0 publications

Experimental implementation of a new multi input multi output fuzzy-PID controller in a poultry house system

Experimental implementation of a new multi input multi output fuzzy-PID controller in a poultry house system

Design and Implementation of State-PID Feedback Controller for Poultry House System: Application for Winter Climate

Efficient hygro-thermal and ammonia control in day-old chick brooding box using internet of things and Tsukamoto Fuzzy controller

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