{"title":"采用精确线性化设计的过程控制回路的鲁棒性研究","authors":"Na Wang, B. Kiss","doi":"10.1109/PC.2017.7976180","DOIUrl":null,"url":null,"abstract":"Exact linearization is often applied to nonlinear processes. This method requires not only the knowledge of the model structure but also the accurate parameter values. If the real parameter values of the controlled process are different from the nominal values used for the exact linearization, the resulting system may not be linear or may have different gains and time constants as expected. A simple procedure is suggested that allows first the parameter grid based characterization of the composition of the uncertain nonlinear system and its linearizing feedback for the nominal parameters and then the design of a H∞ controller. The approach is illustrated by simple examples including 1st order systems and the nonlinear Van der Pol oscillator.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A robustness study of process control loops designed using exact linearization\",\"authors\":\"Na Wang, B. Kiss\",\"doi\":\"10.1109/PC.2017.7976180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Exact linearization is often applied to nonlinear processes. This method requires not only the knowledge of the model structure but also the accurate parameter values. If the real parameter values of the controlled process are different from the nominal values used for the exact linearization, the resulting system may not be linear or may have different gains and time constants as expected. A simple procedure is suggested that allows first the parameter grid based characterization of the composition of the uncertain nonlinear system and its linearizing feedback for the nominal parameters and then the design of a H∞ controller. The approach is illustrated by simple examples including 1st order systems and the nonlinear Van der Pol oscillator.\",\"PeriodicalId\":377619,\"journal\":{\"name\":\"2017 21st International Conference on Process Control (PC)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 21st International Conference on Process Control (PC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PC.2017.7976180\",\"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 21st International Conference on Process Control (PC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PC.2017.7976180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A robustness study of process control loops designed using exact linearization
Exact linearization is often applied to nonlinear processes. This method requires not only the knowledge of the model structure but also the accurate parameter values. If the real parameter values of the controlled process are different from the nominal values used for the exact linearization, the resulting system may not be linear or may have different gains and time constants as expected. A simple procedure is suggested that allows first the parameter grid based characterization of the composition of the uncertain nonlinear system and its linearizing feedback for the nominal parameters and then the design of a H∞ controller. The approach is illustrated by simple examples including 1st order systems and the nonlinear Van der Pol oscillator.