{"title":"一个基准机器人控制问题的先进解决方案","authors":"Joonas Varso, K. Zenger, V. Hölttä, H. Koivo","doi":"10.1109/CIRA.2005.1554305","DOIUrl":null,"url":null,"abstract":"The paper presents one solution to a benchmark problem, where the target was to control the position of one robot axis. The model given corresponds to a commercial robot, although some simplifications have been made in constructing the model. The nonlinear and time-varying nature of the process together with large disturbances of several types were the challenge for control design. Traditional optimization and frequency domain techniques were used for tuning suitable PID controllers for each specific disturbance type. Based on input-output measurements the disturbance types were identified using a wavelet technique, and the different PID controllers were scheduled according to the identification result. The performance of the developed controller was tested by simulations and by calculating the value of a cost criterion.","PeriodicalId":162553,"journal":{"name":"2005 International Symposium on Computational Intelligence in Robotics and Automation","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Advanced solution for a benchmark robot control problem\",\"authors\":\"Joonas Varso, K. Zenger, V. Hölttä, H. Koivo\",\"doi\":\"10.1109/CIRA.2005.1554305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents one solution to a benchmark problem, where the target was to control the position of one robot axis. The model given corresponds to a commercial robot, although some simplifications have been made in constructing the model. The nonlinear and time-varying nature of the process together with large disturbances of several types were the challenge for control design. Traditional optimization and frequency domain techniques were used for tuning suitable PID controllers for each specific disturbance type. Based on input-output measurements the disturbance types were identified using a wavelet technique, and the different PID controllers were scheduled according to the identification result. The performance of the developed controller was tested by simulations and by calculating the value of a cost criterion.\",\"PeriodicalId\":162553,\"journal\":{\"name\":\"2005 International Symposium on Computational Intelligence in Robotics and Automation\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 International Symposium on Computational Intelligence in Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIRA.2005.1554305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 International Symposium on Computational Intelligence in Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIRA.2005.1554305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advanced solution for a benchmark robot control problem
The paper presents one solution to a benchmark problem, where the target was to control the position of one robot axis. The model given corresponds to a commercial robot, although some simplifications have been made in constructing the model. The nonlinear and time-varying nature of the process together with large disturbances of several types were the challenge for control design. Traditional optimization and frequency domain techniques were used for tuning suitable PID controllers for each specific disturbance type. Based on input-output measurements the disturbance types were identified using a wavelet technique, and the different PID controllers were scheduled according to the identification result. The performance of the developed controller was tested by simulations and by calculating the value of a cost criterion.