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Numerical Analysis of Fuzzy Logic Temperature and Humidity Control System in Pharmaceutical Warehouse Using MATLAB Fuzzy Toolbox

机译:使用MATLAB模糊工具箱制药仓库模糊逻辑温度和湿度控制系统的数值分析

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This paper describes the simulation for performance evaluation of fuzzy logic controller in pharmaceutical warehouse's temperature and humidity control system by using MATLAB Fuzzy Logic Toolbox and MATLAB Simulink. MATLAB fuzzy toolbox is used where a fuzzy logic controller is designed to simulate the control system based on control input such as user desired temperature, user desired humidity and deviation from desired parameters. The output control will be the cool fan speed, operation speed of ventilation fan (humidifier) and exhaust fan (dehumidifier). The result will be described in terms of the speed of output actuators changing with the difference in input temperature and humidity. The results of the Simulink model with optimized efficient and good performance are presented. The main aim is to achieve the output actuators with good performance, stable and smooth as the desired set point temperature and humidity and also develop fuzzy inference control system to simulate and monitor the desired temperature and ventilation system in pharmaceutical warehouse area.
机译:本文介绍了使用MATLAB模糊逻辑工具箱和MATLAB Simulink对药物仓库温度和湿度控制系统模糊逻辑控制器的模糊逻辑控制器性能评估的仿真。使用MATLAB模糊工具箱,其中模糊逻辑控制器旨在基于用户所需温度,用户所需的湿度等控制输入模拟控制系统,从而从期望参数偏差。输出控制将是冷风扇速度,通风风扇(加湿器)和排气扇(除湿器)的操作速度。结果将在输出致动器的速度随着输入温度和湿度的差异而改变的速度方面进行描述。提出了具有优化高效和良好性能的Simulink模型的结果。主要目的是实现具有良好性能,稳定且光滑的输出执行器,作为所需的设定点温度和湿度,也会开发模糊推理控制系统,模拟和监测医药仓库区域的期望温度和通风系统。

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