{"title":"Synthesis of the position controller for the pneumatic actuator","authors":"N. Markov, I. A. Shipitko, Taras V. Bezruchko","doi":"10.1109/SIBCON.2009.5044839","DOIUrl":null,"url":null,"abstract":"This paper describes predictive control of pneumatic actuator. Pneumatic cylinder is a complex nonlinear object because of friction and compressibility of the air. A precision and fast control such an object using traditional methods of control is very difficult. Predictive control with neural networks model of the plant is one of the modern approaches to control complex nonlinear objects.","PeriodicalId":164545,"journal":{"name":"2009 International Siberian Conference on Control and Communications","volume":"2019 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Siberian Conference on Control and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON.2009.5044839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper describes predictive control of pneumatic actuator. Pneumatic cylinder is a complex nonlinear object because of friction and compressibility of the air. A precision and fast control such an object using traditional methods of control is very difficult. Predictive control with neural networks model of the plant is one of the modern approaches to control complex nonlinear objects.
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