پديد آورنده :
هاشمي، مهناز
عنوان :
شَناسايي و جبران سازي سنسور اختلاف فشارسنج خازني روش ماشين بردار پشتيبان مبتني بر بهينه سازي پارامترها
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
نه،79ص.:مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
جعفر قيصري،يدا.. ذاكري
استاد مشاور :
فريد شيخ الاسلام
توصيفگر ها :
جبران كننده هوشمند , شبكه هاي عصبي
تاريخ نمايه سازي :
1/3/89
تاريخ ورود اطلاعات :
1396/09/29
دانشكده :
مهندسي برق و كامپيوتر
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
84Identification and Compensation for Capacitive Pressure Sensor based on Support Vector Regression using Particle Swarm Optimization Mahnaz Hashemi m hashemi@ec iut ac ir Date of Submission March 14 2010 Department of Electrical and computer engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisors Jafar Ghaisari ghaisari@cc iut ac ir Yadollah Zakeri yzakeri@cc iut ac irAbstractSensors are widely used in industrial processes automobiles robotics and other systemsto monitor and control the system behaviors Capacitive Sensors because of their highsensitivity and low power consumption are extensively used in various applications tomeasure pressure force position speed acceleration liquid level dielectric propertiesand flow of material Usually the drawback of all sensors is that their responsecharacteristics are influenced by the disturbing environmental parameters e g temperature humidity and pollution For example in the case of Capacitive PressureSensor CPS its response depends not only on the applied pressure but also on theenvironmental temperature This problem becomes severe especially when the capacitivesensor is operated in a harsh environment where temperature variation is large Usually an exact mathematical model of a sensor to show the relationship between theenvironmental parameters and the sensor output is not analytically available Furthermore since most sensors exhibit some degrees of nonlinear responsecharacteristics and the environmental parameters influence the sensor behaviornonlinearly the problem of obtaining an accurate sensor model becomes more complex The main objective of this research is to design an identifier and also a compensator for
استاد راهنما :
جعفر قيصري،يدا.. ذاكري
استاد مشاور :
فريد شيخ الاسلام
