کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6588731 | 1423242 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
State estimation for a penicillin fed-batch process combining particle filtering methods with online and time delayed offline measurements
ترجمه فارسی عنوان
برآورد ایالتی برای یک فرآیند فیتو پنی سیلین ترکیب روش های فیلتر کردن ذرات با اندازه گیری آنلاین و زمان بهنگام آنلاین
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کلمات کلیدی
FDAPOXRMSEEKFQbDOnline measurements - اندازه گیری های آنلاینState estimation - برآورد دولتParameter estimation - برآورد پارامترProbability density function - تابع چگالی احتمالProcess analytical technology - تکنولوژی تحلیلی فرایندPEN - خودکارRoot mean square error - ریشه میانگین خطای مربعFood and Drug Administration - سازمان غذا و داروCer - سرParticle Filter - فیلتر ذرهextended Kalman filter - فیلتر کلمن را گسترش دادOUR - ماOxygen uptake rate - میزان جذب اکسیژنpat - پاتPenicillin V - پنیسیلین VPdf - پی دی افQuality by design - کیفیت طراحی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
چکیده انگلیسی
Real time monitoring of physiological characteristics during a cultivation process is of great importance in the pharmaceutical industry. Measuring biomass, product, substrate and precursor concentrations continuously however is limited due to time-consuming laboratory analysis or expensive and hard-to-handle devices. In this work, a particle filter algorithm for estimating these difficult-to-measure process states in a Penicillium chrysogenum fed-batch cultivation is presented. The implemented particle filter represents a new algorithmic framework, combining several already existing methods and techniques for state estimation. It is based on nonlinear process and measurement models and takes into account both online measurements for state estimation and time delayed offline measurements, ensuring the observability of the considered system and being essential for the adaptation of dynamic model parameters. The application on real experimental data showed the convincing performance of the algorithm, estimating biomass, precursor and product concentration, as well as the specific growth rate, requiring standard measurements only. Furthermore, the positive effect of parameter estimation with respect to estimation quality was analyzed and the effect of the time delay was highlighted exemplarily. Despite of being computationally expensive due to time delayed data, the algorithm can be considered as an alternative monitoring strategy for industrial applications. Thus, it can be used further for process understanding and control.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemical Engineering Science - Volume 177, 23 February 2018, Pages 234-244
Journal: Chemical Engineering Science - Volume 177, 23 February 2018, Pages 234-244
نویسندگان
Julian Kager, Christoph Herwig, Ines Viktoria Stelzer,