Design of a Fuzzy Controller for the Calculation of Atmospheric Comfort in a Greenhouse

2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC) Pub Date : 2022-05-10 DOI:10.1109/airc56195.2022.9836977

Elvis Orlando Tomas Silvestre, Jhon Stalin Figueroa Bados, J. Villanueva, Carlos Coaquira Rojo, Nabilt Jill Moggiano Aburto

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引用次数: 1

Abstract

This article describes the design of a fuzzy controller to monitor atmospheric comfort in a greenhouse. Well-being inside a greenhouse is reflected in two significant parameters: temperature, which ranges between 20°C and 25°C, and relative humidity, which should be around 50%. For the monitoring and control of the parameters similar above, the optimal formation of the microclimate in a greenhouse is necessary. Relative humidity and temperature calculation was performed, which helps to predict comfort by implementing a soft sensor using fuzzy logic. The objective of this research is to demonstrate the effectiveness for the automation and monitoring of artificial intelligence processes, in this case «fuzzy logic», which is based on the user experience. In addition, in this article basic electronics, programming and intermediate level knowledge in fuzzy logic were applied to obtain effective parameters for the implementation of a greenhouse control system.

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温室大气舒适度模糊控制器的设计

本文介绍了一种用于温室大气舒适度监测的模糊控制器的设计。温室内的健康状况反映在两个重要参数上:温度，范围在20°C到25°C之间，相对湿度，应该在50%左右。对于上述参数的监测和控制，温室小气候的最佳形成是必要的。对相对湿度和温度进行了计算，利用模糊逻辑实现了软传感器，有助于预测舒适性。本研究的目的是证明自动化和监控人工智能过程的有效性，在这种情况下是“模糊逻辑”，这是基于用户体验的。此外，本文还应用了基本的电子学、程序设计和模糊逻辑的中级知识来获得温室控制系统的有效参数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)

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