عنوان پایان‌نامه
شناسایی وکنترل پیش بین یک فرایند زیستی
- رشته تحصیلی
- مهندسی برق-کنترل
- مقطع تحصیلی
- کارشناسی ارشد
- محل دفاع
- کتابخانه دانشکده برق و کامپیوتر شماره ثبت: E1418;کتابخانه مرکزی -تالار اطلاع رسانی شماره ثبت: 38058
- تاریخ دفاع
- ۳۱ تیر ۱۳۸۷
- دانشجو
- احمد عاشوری
- چکیده
- کنترل فرایند های زیستی که برای تولید بسیاری از داروها مانند پنی سیلین و سایر انواع انتی بیوتیک ها به کار میرود همچنان به عنوان یک چالش در طراحی سیستم های کنترلی پیشرفته مطرح میباشد هدف اصلی در این گونه فرایندها تولید بالا میباشد که با ایجاد شرایط مناسب ازنظر محیط زیست و تغذیه برای سلولها محقق میشود کنترل سه پارامتر دما واکسیژن محلول در این راستا بسیار حائز اهمیت است که با توجه به تغییرات هریک در فرایند مورد بررسی یک یا دو و یا هرسه آنها مورد کنترل قرار میگیرد.
- Abstract
- Control of bioprocesses, which are involved in producing different antibiotics and other pharmaceutical products, is considered as a challengeable field in advanced control systems design in recent decades. The main goal dealing with these processes is to get a pure product with a high concentration, which could be investigated via appropriate environmental conditions, such as feeding and living circumstances. To achieve this goal, control of the following parameters has significant importance dealing with these processes: Temperature, pH, Dissolved oxygen (DO2). Control of either temperature, pH or DO2 is necessary depending on the process. If temperature falls down the proteins reactions slow down and if it goes up the proteins will denature. Suitable pH prepares the environment for proper transfer of feedstuff and energy/redundant stuff to and from the cell membrane respectively. Moreover, cells can not do their vital actions without oxygen. Due to uncertainties, and nonlinearities, which exist in such processes, conventional control methods do not succeed in industrial applications. On the other hand, the application of advanced control methods, either classic or intelligent ones, is practically increasing, because they are based on online measurements and hence have an acceptable reliability. In this thesis, control of a fed batch fermentation process, penicillin production is presented. Firstly, conventional control approaches such as PID and On-Off controller are investigated. Then, linear and nonlinear version of predictive control as advanced control methods, which are simulated in MATLAB environment, are applied to the process for its optimal performance. Finally, the simulation time for nonlinear optimization in each step has been reduced using neurofuzzy locally linear models via LoLiMoT identification method.
