{"title":"Design of Type-2 Fuzzy Logic Controller for air heater temperature control","authors":"D. A. R. Wati","doi":"10.1109/TICST.2015.7369386","DOIUrl":null,"url":null,"abstract":"Air heater temperature control systems generally deal with many uncertainties from their environment as well as uncertainties from the sensor measurement. Type-2 Fuzzy Logic Controller (FLC) has many advantages in handling uncertainties. This research implemented PI-like type-2 FLC for air heater temperature control. The input variables of the type-2 FLC are error and change of error, while its output is change of control signal. The control strategy was mapped into 4 rules in the fuzzy rule base. The experiments was conducted using LabVIEW and NI USB 6009 as acquisition device for controlling the air heater mini plant. The performance of this type-2 FLC was evaluated and compared to type-1 FLC. The experiments were conducted in order to record the step responses, the responses in handling the disturbances, and the responses to set point changes. Based on these experiments, the type-2 FLC performed better step response than type-1 FLC as well as in handling the disturbances and set point changes.","PeriodicalId":251893,"journal":{"name":"2015 International Conference on Science and Technology (TICST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Science and Technology (TICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TICST.2015.7369386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Air heater temperature control systems generally deal with many uncertainties from their environment as well as uncertainties from the sensor measurement. Type-2 Fuzzy Logic Controller (FLC) has many advantages in handling uncertainties. This research implemented PI-like type-2 FLC for air heater temperature control. The input variables of the type-2 FLC are error and change of error, while its output is change of control signal. The control strategy was mapped into 4 rules in the fuzzy rule base. The experiments was conducted using LabVIEW and NI USB 6009 as acquisition device for controlling the air heater mini plant. The performance of this type-2 FLC was evaluated and compared to type-1 FLC. The experiments were conducted in order to record the step responses, the responses in handling the disturbances, and the responses to set point changes. Based on these experiments, the type-2 FLC performed better step response than type-1 FLC as well as in handling the disturbances and set point changes.
空气加热器温度控制系统通常要处理许多来自环境的不确定性以及来自传感器测量的不确定性。2型模糊控制器(FLC)在处理不确定性方面具有许多优点。本研究实现了类似pi的2型FLC用于空气加热器温度控制。2型FLC的输入变量为误差和误差的变化量,输出变量为控制信号的变化量。将控制策略映射为模糊规则库中的4条规则。实验采用LabVIEW和NI USB 6009作为采集设备对空气加热器微型装置进行控制。对2型FLC的性能进行评价,并与1型FLC进行比较。实验记录了系统的阶跃响应、对扰动的响应和对设定值变化的响应。实验结果表明,2型FLC在处理扰动和设定点变化方面的阶跃响应优于1型FLC。