{"title":"气动隔膜阀的LQR和PID控制设计","authors":"G. Conte, F. Marques, Claudio Garcia","doi":"10.1109/ICAACCA51523.2021.9465250","DOIUrl":null,"url":null,"abstract":"This work demonstrates the design and compares the performance of two different digital control techniques for a modeled pneumatic diaphragm valve. The valve model is derived using first-principles modeling, the Karnopp friction model and approximates the I/P converter dynamics with a first order filter. The digital PID and LQR controllers were chosen to compensate the valve friction. A proposed contribution is to implement a digital LQR control using the Bryson rule and the Pincer technique to tune the matrices Q and R based on requirements response, maximum deviation of states variables and control effort. The robustness of the LQR controller compared to the PID controller is presented in this paper.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LQR and PID Control Design for a Pneumatic Diaphragm Valve\",\"authors\":\"G. Conte, F. Marques, Claudio Garcia\",\"doi\":\"10.1109/ICAACCA51523.2021.9465250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work demonstrates the design and compares the performance of two different digital control techniques for a modeled pneumatic diaphragm valve. The valve model is derived using first-principles modeling, the Karnopp friction model and approximates the I/P converter dynamics with a first order filter. The digital PID and LQR controllers were chosen to compensate the valve friction. A proposed contribution is to implement a digital LQR control using the Bryson rule and the Pincer technique to tune the matrices Q and R based on requirements response, maximum deviation of states variables and control effort. The robustness of the LQR controller compared to the PID controller is presented in this paper.\",\"PeriodicalId\":328922,\"journal\":{\"name\":\"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAACCA51523.2021.9465250\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAACCA51523.2021.9465250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LQR and PID Control Design for a Pneumatic Diaphragm Valve
This work demonstrates the design and compares the performance of two different digital control techniques for a modeled pneumatic diaphragm valve. The valve model is derived using first-principles modeling, the Karnopp friction model and approximates the I/P converter dynamics with a first order filter. The digital PID and LQR controllers were chosen to compensate the valve friction. A proposed contribution is to implement a digital LQR control using the Bryson rule and the Pincer technique to tune the matrices Q and R based on requirements response, maximum deviation of states variables and control effort. The robustness of the LQR controller compared to the PID controller is presented in this paper.