{"title":"电液旋转作动器的分数阶模糊PID控制","authors":"T. Do, D. Tran, K. Ahn","doi":"10.1109/ICMECT.2019.8932127","DOIUrl":null,"url":null,"abstract":"In this paper, a design of fractional order fuzzy PID controller is presented for position-tracking control of an electro-hydraulic rotary actuator (EHRA) which uses a hydraulic rotary as the end-effector under different working conditions. The proposed controller combines between fractional order PID (FOPID) controller and an intelligent fuzzy rule. In detail, fractional order PID controller with two additional parameters changes the integer order of integral and derivative functions in conventional PID to non-integer order which help to improve tracking, robustness and stability of control performance. A fuzzy logic control system is designed to optimize the parameters of FOPID in term of variant requirements. To verify the proposed controller, simulations by using co-simulation between AMESim and Matlab are carried out. Furthermore, a comparative study with other controllers has been done to demonstrate the effectiveness of the proposed approach.","PeriodicalId":309525,"journal":{"name":"2019 23rd International Conference on Mechatronics Technology (ICMT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fractional Order Fuzzy PID Controller for an Electro-Hydraulic Rotary Actuator\",\"authors\":\"T. Do, D. Tran, K. Ahn\",\"doi\":\"10.1109/ICMECT.2019.8932127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a design of fractional order fuzzy PID controller is presented for position-tracking control of an electro-hydraulic rotary actuator (EHRA) which uses a hydraulic rotary as the end-effector under different working conditions. The proposed controller combines between fractional order PID (FOPID) controller and an intelligent fuzzy rule. In detail, fractional order PID controller with two additional parameters changes the integer order of integral and derivative functions in conventional PID to non-integer order which help to improve tracking, robustness and stability of control performance. A fuzzy logic control system is designed to optimize the parameters of FOPID in term of variant requirements. To verify the proposed controller, simulations by using co-simulation between AMESim and Matlab are carried out. Furthermore, a comparative study with other controllers has been done to demonstrate the effectiveness of the proposed approach.\",\"PeriodicalId\":309525,\"journal\":{\"name\":\"2019 23rd International Conference on Mechatronics Technology (ICMT)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 23rd International Conference on Mechatronics Technology (ICMT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMECT.2019.8932127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 23rd International Conference on Mechatronics Technology (ICMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMECT.2019.8932127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractional Order Fuzzy PID Controller for an Electro-Hydraulic Rotary Actuator
In this paper, a design of fractional order fuzzy PID controller is presented for position-tracking control of an electro-hydraulic rotary actuator (EHRA) which uses a hydraulic rotary as the end-effector under different working conditions. The proposed controller combines between fractional order PID (FOPID) controller and an intelligent fuzzy rule. In detail, fractional order PID controller with two additional parameters changes the integer order of integral and derivative functions in conventional PID to non-integer order which help to improve tracking, robustness and stability of control performance. A fuzzy logic control system is designed to optimize the parameters of FOPID in term of variant requirements. To verify the proposed controller, simulations by using co-simulation between AMESim and Matlab are carried out. Furthermore, a comparative study with other controllers has been done to demonstrate the effectiveness of the proposed approach.