{"title":"自抗扰广义预测控制及其在大时滞系统中的应用","authors":"Xia Wu, Zengqiang Chen, Mingwei Sun, Qinglin Sun","doi":"10.1109/DDCLS.2017.8067716","DOIUrl":null,"url":null,"abstract":"An improved algorithm called active disturbance rejection generalized predictive control which combines advantages of active disturbance rejection control and generalized predictive control is proposed for time-delay systems in this paper to reduce the limitations of active disturbance rejection control (ADRC) in plants with large time-delay and improve the imperfections of generalized predictive control method such as huge computation and strong dependence on mathematical model. The method proposed in this paper can deduce the general solution to the Diophantine equations off-line without the system parameter identification because of the extended state observer. Hence, the online computation burden of this improved method is reduced typically and its application is enlarged. Simulation results show that this proposed design turns out to be a new solution for the large time-delay systems.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Active disturbance rejection generalized predictive control and its application on large time-delay systems\",\"authors\":\"Xia Wu, Zengqiang Chen, Mingwei Sun, Qinglin Sun\",\"doi\":\"10.1109/DDCLS.2017.8067716\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An improved algorithm called active disturbance rejection generalized predictive control which combines advantages of active disturbance rejection control and generalized predictive control is proposed for time-delay systems in this paper to reduce the limitations of active disturbance rejection control (ADRC) in plants with large time-delay and improve the imperfections of generalized predictive control method such as huge computation and strong dependence on mathematical model. The method proposed in this paper can deduce the general solution to the Diophantine equations off-line without the system parameter identification because of the extended state observer. Hence, the online computation burden of this improved method is reduced typically and its application is enlarged. Simulation results show that this proposed design turns out to be a new solution for the large time-delay systems.\",\"PeriodicalId\":419114,\"journal\":{\"name\":\"2017 6th Data Driven Control and Learning Systems (DDCLS)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th Data Driven Control and Learning Systems (DDCLS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DDCLS.2017.8067716\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th Data Driven Control and Learning Systems (DDCLS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDCLS.2017.8067716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Active disturbance rejection generalized predictive control and its application on large time-delay systems
An improved algorithm called active disturbance rejection generalized predictive control which combines advantages of active disturbance rejection control and generalized predictive control is proposed for time-delay systems in this paper to reduce the limitations of active disturbance rejection control (ADRC) in plants with large time-delay and improve the imperfections of generalized predictive control method such as huge computation and strong dependence on mathematical model. The method proposed in this paper can deduce the general solution to the Diophantine equations off-line without the system parameter identification because of the extended state observer. Hence, the online computation burden of this improved method is reduced typically and its application is enlarged. Simulation results show that this proposed design turns out to be a new solution for the large time-delay systems.