عنوان :
كنترل PH طراحي و ارزيابي تئوري و عملي كنترل كننده هاي خطي ساز
گرايش تحصيلي :
مهندسي شيمي
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده مهندسي شيمي
صفحه شمار :
ده، 186، [II]ص: مصور، جدول، نمودار
يادداشت :
ص.ع. به فارسي و انگليسي
استاد راهنما :
ارجمند مهرباني، محمد شاهرخي
توصيفگر ها :
الگوريتم RLS , طراحي كنترلر
تاريخ نمايه سازي :
19/01/87
استاد داور :
رامين بزرگمهري، محمد رضا پيشوايي، محمد رضا احساني، مهدي كشميري
كد ايرانداك :
ID193 دكتري
چكيده فارسي :
به فارسي و انگليسي: قابل رؤيت در نسخه ديجيتال
چكيده انگليسي :
AbstractIn this thesis the mathematical models for pH process are reviewed in the first These modelsconsist of two static and dynamic parts The static part of model is derived based on ion sdissociation chemical equilibrium and electro neutrality equation in reactor The dynamic partis obtained based on conservation of mass for each species in a CSTR reactor with constantvolume This type of modeling is named full order model or modeling based on reactioninvariants Since implementation of this mode is more sophisticated when the number of statevariables increases the reduced order model which only has one state has been used One ofthe significant characteristics of reduced order model is not needing to state observers Also itcan be used for estimation of feed stream titration curve easily The main object of this thesisis to propose a controller based on reduced order model and compare with the other methodsas below a Designing of adaptive and non adaptive feedback linearizing controller based on reduced order model and compare it with linearizing controller based on full order model Since nonlinear Leunberger like observers and extended Leunberger observers are implemented for estimating of states in full order model Simulation and experimental results indicate the better performance of extended Leunberger observer with less computation Also a method is proposed for prevention of singularity of observer gain in Leunberger like observer when strong acid and base are presented together Finally is shown that the performance of feedback linearization controller based on reduced order model is better than controller based on full order model considerably b Review on pH control based on SAE method which proposed in literature and compare it with linearizing controller First SAE method is introduced Then a comparison is preformed between two SAE controllers through simulation Finally the closed loop performances of these controllers are evaluated through experimental studies Results show that the SAE method is not suitable controller for common pH process in spite of good reports of this method in literature c Review on backstepping BS controller method which proposed for pH control in literature It is shown that the BS controller proposed in the literature is identical with exact input output linearization To avoid difficulties related to state estimator design these controllers have been designed based on the reduced order model of pH Through simulation the performance of linearizing controller designed based on reduced order model has been compared with performance of adaptive backstepping controller Results indicate that the non adaptive version of linearizing controller has a better performance in spite of its simpler design Finally the results of load rejection having changes in feed stream concentration load rejectionby adding unknown component to feed stream and set point tracking are presented for allexisting controllers in this thesis Results indicate that the superior ability of linearizingcontroller based on reduced order model
استاد راهنما :
ارجمند مهرباني، محمد شاهرخي
استاد داور :
رامين بزرگمهري، محمد رضا پيشوايي، محمد رضا احساني، مهدي كشميري
