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

机译：家禽屋系统中新型多输入多输出模糊PID控制器的实验实施

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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 , CO ). 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 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 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.
机译：肉鸡房屋系统被操作，以提供适合具有较大动物生产效率的适当条件的主要目的。家禽建筑中的主要环境条件是控制Hygro-散热参数（温度和相对湿度）和污染物气体（NH，CO）。在本文中，使用LabVIEW等监控和数据采集（SCADA）工具来监控和控制家禽房原型。设计了一个完整的原型，并实施了有效的混合控制策略，以实时控制家禽房气候。在建议的方法中，多输入多输出（MIMO）模糊逻辑控制器（FLC）与由模糊规则调整的比例，积分，导数（PID）控制器组合。所提出的方法，模糊逻辑和开/关控制器是通过实验措施和在炎热气候30天内的原型模型进行研究。比较结果表明，与MFLPID控制器（0.8°C，1.34％）的温度和相对湿度响应的根均方误差低于FLC（1.16℃，1.86％）和开/关控制器（2.09° C，3.08％）。 CO浓度的平均值（2461ppm）低于FLC（3294ppm）和开/关控制器（3624ppm）的平均值。然而，对于所有控制器，NH浓度的平均值限制为小值（<5ppm）。发现MFLPID系统鸡的每日体重的性能为97％，高于FLC（88％）和ON / OFF（80％）。与ON / OFF和模糊控制器相比，致动器的能量消耗可在MFLPID下保存为43％和14％。这些结果表明，拟议的控制策略在家禽养殖部门的应用中更有效。

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