{"title":"Experimental design of PC-based servo system","authors":"H. Ngo, T. Nguyen, T.-S. Le, V. Huynh, H. Tran","doi":"10.1109/ICSSE.2017.8030973","DOIUrl":null,"url":null,"abstract":"This paper concerntrates on the analysis, design and control methodology in the machining servo system. The overall architecture of motion system is investigated to realize the drawbacks of traditional scheme. Then, this research proposes the suitable design of controller due to rapid calculation, high precision and friendly graphical user interface. The diagram of Fuzzy self-tuning PID and feedforward is constructed to drive the servo machine. The hardware platform of controller has been accomplised such as schematic, PCB artworks and soldering. Later, the middleware and firmware have been closed to promote the execution between controller and computer. The intelligent algorithm is embedded in board level by TMS320C6727 to overcome the problems, for example the existing nonlinear properties, external disturbances or servo lag phenomena. Based on the theoretical design, several simulation results are provided to verify the contributions. From the experimental performance, it can be seen clearly that this controller smoothly manipulate the servo motor, ensure real-time performance and high tracking position.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2017.8030973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper concerntrates on the analysis, design and control methodology in the machining servo system. The overall architecture of motion system is investigated to realize the drawbacks of traditional scheme. Then, this research proposes the suitable design of controller due to rapid calculation, high precision and friendly graphical user interface. The diagram of Fuzzy self-tuning PID and feedforward is constructed to drive the servo machine. The hardware platform of controller has been accomplised such as schematic, PCB artworks and soldering. Later, the middleware and firmware have been closed to promote the execution between controller and computer. The intelligent algorithm is embedded in board level by TMS320C6727 to overcome the problems, for example the existing nonlinear properties, external disturbances or servo lag phenomena. Based on the theoretical design, several simulation results are provided to verify the contributions. From the experimental performance, it can be seen clearly that this controller smoothly manipulate the servo motor, ensure real-time performance and high tracking position.