پديد آورنده :
دبيري ، الهام
عنوان :
كاربرد روش هاي كنترل يادگير تكرار شونده در كنترل حركت محرك هاي پيزو الكتريك
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان : داتشگاه صنعتي اصفهان : دانشكده برق و كامپيوتر
صفحه شمار :
نه ، 114 ، [II] ص . : مصور ، جدول ، نمودار
يادداشت :
ص . ع . به : فارسي و انگليسي
استاد راهنما :
سعيد صدري، پاكنوش كريم آقايي
توصيفگر ها :
استانداردIEEE , تحليل مودال
تاريخ نمايه سازي :
20/7/1387
استاد داور :
محمد رضا آشوري ،جعفر قيصري
دانشكده :
مهندسي برق و كامپيوتر
چكيده فارسي :
به فارسي و انگليسي : قابل رويت در نسخه ديجيتال
چكيده انگليسي :
AbstractAccording to wide spread applications of piezoelectric actuators in various fields likeautomation communications optics nanotechnology and semiconductor technology aswell as their effective capability in providing nanometer and subnanometer displacement specially at high frequencies with high resolution it is necessary to design a system tocontrol piezoelectric actuators To control the motion of piezoelectric actuators it isnecessary to model their behavior The models commonly used to simulate the mechanicaland electrical behavior of piezoelectric actuators generally are based on simplifiedassumptions often invalid for practical designs Although the geometry of practicalactuators are often 2 D or 3 D most usual models however are based on one dimensionalmodels or are designed for special purposes and nonphysical description of piezoelectrics In this thesis we have utilized IEEE constitutive relations to derive a piezoelectric actuatormodel and we have used finite element method to analyse the partial differential equations In this way we obtain the equations needed to model the piezoelectric The abovementioned provides physical insight into piezo actuator We have used iterative learningcontrol methods for motion control of these actuators to track desired displacement profile For a given refrence trajectory we make use of various iterative learning control methods to find the coresponding input to the system such that the output follows the desiredtrajectory as acqurate as possible It is also necessary to optimize the algorithm forcomputational requirements We incorporate different 2 D learning control algorithms to a3 D piezoelectric actuator and by comparing their sum of square errors produced in adetermined amount of iterations we compare them and select the most approprite ones
استاد راهنما :
سعيد صدري، پاكنوش كريم آقايي
استاد داور :
محمد رضا آشوري ،جعفر قيصري
