{"title":"柔性连杆机器人PI和模糊PID监控控制器的设计与实现","authors":"Mahshid Pourebrahim, M. Ayati, M. Mahjoob","doi":"10.1109/CCSSE.2016.7784396","DOIUrl":null,"url":null,"abstract":"In this paper, PID controllers are designed to enhance the trajectory tracking performance of a flexible link robot. Firstly, a PI controller is used where conventional Ziegler-Nichols method adjusts the controller parameters. In addition, Fuzzy PID controller is designed in which fuzzy rules are utilized on-line to tune the PID controller parameters based on the current value of error and its first time-derivative. Also, effects of several defuzzification methods on the closed-loop system are investigated in this paper. A flexible link robot is implemented and controllers are applied. Experimental results confirm the performance of the fuzzy PID controller.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design and implementation of PI and fuzzy PID supervisory controllers for a flexible link robot\",\"authors\":\"Mahshid Pourebrahim, M. Ayati, M. Mahjoob\",\"doi\":\"10.1109/CCSSE.2016.7784396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, PID controllers are designed to enhance the trajectory tracking performance of a flexible link robot. Firstly, a PI controller is used where conventional Ziegler-Nichols method adjusts the controller parameters. In addition, Fuzzy PID controller is designed in which fuzzy rules are utilized on-line to tune the PID controller parameters based on the current value of error and its first time-derivative. Also, effects of several defuzzification methods on the closed-loop system are investigated in this paper. A flexible link robot is implemented and controllers are applied. Experimental results confirm the performance of the fuzzy PID controller.\",\"PeriodicalId\":136809,\"journal\":{\"name\":\"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCSSE.2016.7784396\",\"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 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSSE.2016.7784396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and implementation of PI and fuzzy PID supervisory controllers for a flexible link robot
In this paper, PID controllers are designed to enhance the trajectory tracking performance of a flexible link robot. Firstly, a PI controller is used where conventional Ziegler-Nichols method adjusts the controller parameters. In addition, Fuzzy PID controller is designed in which fuzzy rules are utilized on-line to tune the PID controller parameters based on the current value of error and its first time-derivative. Also, effects of several defuzzification methods on the closed-loop system are investigated in this paper. A flexible link robot is implemented and controllers are applied. Experimental results confirm the performance of the fuzzy PID controller.