{"title":"非线性和高阶过程的自整定模糊PID控制器","authors":"D. Simhachalam, R. Mudi","doi":"10.1109/ISCO.2014.7103939","DOIUrl":null,"url":null,"abstract":"We propose a self-tuning fuzzy PID controller (STFPIDC) for non-linear and higher-order processes with dead time whose output scaling factor (SF) is continuously adjusted in each sampling instant by a non-fuzzy gain modifying factor γ, which is defined on the sign of error and change of error of the controlled variable, and the number of their uniform fuzzy partitions. Performance of the proposed controller is studied for non-linear and higher-order processes with dead-time under both set-point change and load disturbance. Performance comparisons with other FLCs are provided in terms of various performance indices along with transient responses. Simulated results justify the effectiveness of the proposed STFPIDC.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-tuning fuzzy PID controller for non-linear and higher-order processes\",\"authors\":\"D. Simhachalam, R. Mudi\",\"doi\":\"10.1109/ISCO.2014.7103939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a self-tuning fuzzy PID controller (STFPIDC) for non-linear and higher-order processes with dead time whose output scaling factor (SF) is continuously adjusted in each sampling instant by a non-fuzzy gain modifying factor γ, which is defined on the sign of error and change of error of the controlled variable, and the number of their uniform fuzzy partitions. Performance of the proposed controller is studied for non-linear and higher-order processes with dead-time under both set-point change and load disturbance. Performance comparisons with other FLCs are provided in terms of various performance indices along with transient responses. Simulated results justify the effectiveness of the proposed STFPIDC.\",\"PeriodicalId\":119329,\"journal\":{\"name\":\"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCO.2014.7103939\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCO.2014.7103939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-tuning fuzzy PID controller for non-linear and higher-order processes
We propose a self-tuning fuzzy PID controller (STFPIDC) for non-linear and higher-order processes with dead time whose output scaling factor (SF) is continuously adjusted in each sampling instant by a non-fuzzy gain modifying factor γ, which is defined on the sign of error and change of error of the controlled variable, and the number of their uniform fuzzy partitions. Performance of the proposed controller is studied for non-linear and higher-order processes with dead-time under both set-point change and load disturbance. Performance comparisons with other FLCs are provided in terms of various performance indices along with transient responses. Simulated results justify the effectiveness of the proposed STFPIDC.