پديد آورنده :
يوسفي، غزاله
عنوان :
بافرينگ تطبيقي براي جبران تاخير سيستم هاي كنترل خطي تحت شبكه
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
دوازده، 67ص.: مصور، جدول، نمودار
يادداشت :
ص.ع. به فارسي و انگليسي
استاد راهنما :
ايمان ايزدي، مرضيه كمالي
توصيفگر ها :
سيستم هاي كنترل تحت شبكه , كنترل تطبيقي , تاخير زماني , پيش بين مبتني بر مدل
استاد داور :
جعفر قيصري، جواد عسگري
تاريخ ورود اطلاعات :
1396/06/15
رشته تحصيلي :
برق و كامپيوتر
دانشكده :
مهندسي برق و كامپيوتر
چكيده انگليسي :
Adaptive Buffering for delay compensation of Networked linear Control Systems Ghazaleh Yousefi g yousefi@ec iut ac ir May 2017 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor I Izadi iman izadi@cc iut ac ir M Kamali m kamali@cc iut ac irAbstract Networked control systems NCSs have been one of the main research fields in recent years In modern control systems information is shared through networks These networks present many new challenges including variable time delay limited capacity and packet loss The performance of networked control systems is affected by time varying transmissiondelays These delays may lead to poor performance and even instability of the networked control system Usual solutionsto this problem include storing arriving packets in a buffer at the cost of increased constant delay Buffer can transformvariable delay to fixed delay and regulates packets queue If the plant is stable and delay is constant we can use smithpredictor to overcome delay problems Because of limited bandwidth fixed buffer is not always appropriate For optimaluse of network bandwidth adaptive buffer is used in this thesis The size of buffer is based on delay variation We propose anovel approach to adapt buffer size and its content When the buffer size needs to be increased the packets will be predictedand when it needs to be reduced some packets will be dropped Simulation results show the effectiveness of the proposedapproach Key Words Networked control systems Adaptive control Time delay Model based predictor
استاد راهنما :
ايمان ايزدي، مرضيه كمالي
استاد داور :
جعفر قيصري، جواد عسگري