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Temperature regulation for distillation process using selftuning fuzzy plus PID controller

机译:使用自韵模糊加上PID控制器的蒸馏工艺温度调节

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This paper presents a self-tuning fuzzy logic controller plus PID controller that applied for essential oil extraction process. The most popular technique in extraction essential oil is using steam distillation. This method is lack to the process requirement and also towards parameter change. In order to regulate the steam distillation at desired extraction condition, the controller needs to integrate to the plant. By using auto regressive model with external input (ARX) model structure, the temperature of steam was successfully modelled with best fit 98.42%. This model was successfully representing the system during controller simulation work. There are several controllers that demonstrated in this project which are self-tuning fuzzy PID controller (STFPID) and conventional PID. Both controller will compare their performance in terms of system response which are percent overshoot (%OS), settling time (Ts) and also rise time (Tr). As the result, the STFPID with seven membership function gives the best performance compared to PID controller.
机译:本文介绍了一种自调整模糊逻辑控制器加上PID控制器,适用于精油提取过程。萃取精油中最流行的技术是使用蒸汽蒸馏。该方法缺乏流程要求,也缺乏参数变化。为了调节所需提取条件下的蒸汽蒸馏,控制器需要整合到工厂。通过使用外部输入(ARX)模型结构的自动回归模型,蒸汽的温度成功建模,最佳拟合98.42%。该模型在控制器仿真工作中成功表示系统。该项目中有几个控制器,它是自调整模糊PID控制器(STFPID)和传统PID。两个控制器将在系统响应方面比较它们的性能,这是过冲(%OS),建立时间(TS)和上升时间(TR)的百分比。结果,与PID控制器相比,具有七个隶属函数的STFPID提供了最佳性能。

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