{"title":"采用自抗扰控制的干扰消除控制器设计","authors":"T. Murao, Y. Ishida","doi":"10.1109/CSPA.2016.7515806","DOIUrl":null,"url":null,"abstract":"In this study, we propose an improved active disturbance rejection control (ADRC). The basic idea behind ADRC is to model a system with a disturbance that represents any difference between the model and the actual system, including external disturbances. In the proposed method, the state-feedback gain, the integral gain, and the observer gain are determined with the pole placement method using Ackermann's formula. The effectiveness of the proposed method was confirmed using the simulation results.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Controller design for disturbance removal using active disturbance rejection control\",\"authors\":\"T. Murao, Y. Ishida\",\"doi\":\"10.1109/CSPA.2016.7515806\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we propose an improved active disturbance rejection control (ADRC). The basic idea behind ADRC is to model a system with a disturbance that represents any difference between the model and the actual system, including external disturbances. In the proposed method, the state-feedback gain, the integral gain, and the observer gain are determined with the pole placement method using Ackermann's formula. The effectiveness of the proposed method was confirmed using the simulation results.\",\"PeriodicalId\":314829,\"journal\":{\"name\":\"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"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.2016.7515806\",\"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.2016.7515806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Controller design for disturbance removal using active disturbance rejection control
In this study, we propose an improved active disturbance rejection control (ADRC). The basic idea behind ADRC is to model a system with a disturbance that represents any difference between the model and the actual system, including external disturbances. In the proposed method, the state-feedback gain, the integral gain, and the observer gain are determined with the pole placement method using Ackermann's formula. The effectiveness of the proposed method was confirmed using the simulation results.