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Fuzzy logic self-tuning PID controller design based on smith predictor for heating system

机译:基于史密斯预估因子的加热系统模糊逻辑自整定PID控制器设计

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The heating, ventilation, and air conditioning is a technology used in smart buildings, providing thermal comfort and acceptable air quality. Heating system is the most important part of this technology and several methods have been proposed for controlling it. The model of heating system includes time delay. Moreover, the model parameters are changed based on the operation mode. In this paper, Smith predictor is proposed as a solution for controlling the time delayed system. In addition, to overcome the uncertain condition of the model, a self-tuning PID controller is employed based on the fuzzy logic. Therefore, in this paper, a self-tuning fuzzy logic PID controller based on Smith predictor is proposed to control the heating system. The findings obtained from various simulation results verified the remarkable precision of the proposed method in controlling the heating system in comparison to the other controllers like PID and PID based on Smith predictor.
机译:采暖,通风和空调是智能建筑中使用的一项技术,可提供热舒适性和可接受的空气质量。加热系统是这项技术中最重要的部分,已经提出了几种控制它的方法。加热系统的模型包括时间延迟。而且,根据操作模式来改变模型参数。本文提出了Smith预估器作为控制时滞系统的解决方案。另外,为克服模型的不确定性,采用了基于模糊逻辑的自整定PID控制器。因此,本文提出了一种基于Smith预估器的自整定模糊逻辑PID控制器来控制加热系统。从各种模拟结果中获得的发现证明,与其他控制器(例如基于Smith预估器的PID和PID)相比,该方法在控制加热系统方面具有显着的精度。

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