{"title":"模糊分数阶PI+ PD控制器的设计","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":"{\"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}","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}
Design of fuzzy fractional-order PI+ PD controller
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.