{"title":"Model Identification and Control Method Study on Electro-Hydraulic Pressure Servo System","authors":"Junpeng Shao, Guihua Han, Y. Dong, Zhongwen Wang","doi":"10.1109/ICICIC.2009.262","DOIUrl":null,"url":null,"abstract":"Mathematic model of electro-hydraulic pressure servo test bench was obtained based on xPC technique. In order to improve the tracking performance of the pressure servo system a new nonlinear hybrid controller was developed according to the mathematic model, which composed of a classical PID controller and a fuzzy controller based on self-adjusting modifying factor. And interpolation method was used in the modifying factor fuzzy number model; a fuzzy switching mode was employed to avoid the undesirable disturbances caused by the switchover between the two control methods. The hardware-in-the-loop simulation results show that the problems of steady-state error for fuzzy control and rapidity for PID control are solved, and the comprehensive performance of electrohydraulic pressure servo is enhanced when load rigidity and mass changed.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIC.2009.262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Mathematic model of electro-hydraulic pressure servo test bench was obtained based on xPC technique. In order to improve the tracking performance of the pressure servo system a new nonlinear hybrid controller was developed according to the mathematic model, which composed of a classical PID controller and a fuzzy controller based on self-adjusting modifying factor. And interpolation method was used in the modifying factor fuzzy number model; a fuzzy switching mode was employed to avoid the undesirable disturbances caused by the switchover between the two control methods. The hardware-in-the-loop simulation results show that the problems of steady-state error for fuzzy control and rapidity for PID control are solved, and the comprehensive performance of electrohydraulic pressure servo is enhanced when load rigidity and mass changed.