{"title":"Design of fuzzy fractional-order PI+ PD controller","authors":"M. Tajjudin, N. Ishak, M. Rahiman, R. Adnan","doi":"10.1109/CSPA.2016.7515841","DOIUrl":null,"url":null,"abstract":"This paper presents the design of a fuzzy fractional-order Proportional Integral plus Proportional Derivative controller in a two stage control structures where fractional-order terms were considered. Due to some weaknesses discovered in both PID and fuzzy controllers, this design was proposed. Basically, fuzzy system was implemented to tune the fractional-order of PI while fractional-order PD was fixed. The proposed controller was compared against conventional PID controller, fuzzy PID and fuzzy PI+PD controller. All results were presented from simulation studies applied to a steam temperature process which inherit slow dynamics and non-linear properties. Based on the results, the significance of fractional-order controller was evidently shown where the proposed controller had improved the response in terms of speed and control output efficiency.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSPA.2016.7515841","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
This paper presents the design of a fuzzy fractional-order Proportional Integral plus Proportional Derivative controller in a two stage control structures where fractional-order terms were considered. Due to some weaknesses discovered in both PID and fuzzy controllers, this design was proposed. Basically, fuzzy system was implemented to tune the fractional-order of PI while fractional-order PD was fixed. The proposed controller was compared against conventional PID controller, fuzzy PID and fuzzy PI+PD controller. All results were presented from simulation studies applied to a steam temperature process which inherit slow dynamics and non-linear properties. Based on the results, the significance of fractional-order controller was evidently shown where the proposed controller had improved the response in terms of speed and control output efficiency.