ترجمه صنایع غذایی -27 صفحه
سال 1999
Optimizing bioreactors by extremum seeking
بهینه سازی بیوراکتور ها با استفاده از پیدا کردن اکسترموم
Hsin-Hsiung Wang , Miroslav Krstic , Georges Bastin
http://onlinelibrary.wiley.com/doi/10.1002
دانلود رایگان مقاله انگلیسی-صنایع غذایی
چکیده
بهینه سازی مربوط به استفاده از واکنش دهنده های بیولوژیکی یک مسئله غیر خطی جالب است که حل آن منافع اقتصادی بالقوه ای را ارائه میدهد.ما روش حداکثر کردن را برای رسیدن به ماکسیموم نرخ تولید زیست توده در یک مخزن واکنش دهنده که به طور دائم در حال به هم زده شدن است،اعمال کردیم.و مدل،Monod و Haldane ،مورد بررسی قرار گرفته و به طریق شبیه سازی نشان داده شده است که روش های پیدا کردن حداکثر،باعث رسیدن به جواب بهینه سازی در هر دو مورد میشود.یک فیدبک کنترل تثبیی به همراه یک فیلتر شکست برای تعمیم محدوده ی عملیاتی به مدل Haldane ،در طراحی قرار گرفت.
Abstract
The optimization of the operation of biological reactors is an interesting nonlinear problem whose solution offers potential economic benefit. We apply a peak seeking method to approach the maximum biomass production rate in a continuous stirred tank bioreactor. Two models, Monod and Haldane, are investigated and it is shown by simulation that the peak seeking scheme achieves optimization for both cases. A stabilizing feedback controller with a washout filter is designed to extend the operating range for the Haldane model. The work was supported in part by the National Science Foundation under Grant ECS-9624386 and in part by the Air Force Office of Scientific Research under Grant F08671-9800319. y Corresponding author. 1 Introduction The application of modern model-based techniques for optimization and control of bioreactors is hampered by a major bottleneck: the difficulty of identifying reliable first principle models for these highly nonlinear and widely uncertain systems
Abstract
The optimization of the operation of biological reactors is an interesting nonlinear problem whose solution offers potential economic benefit. We apply a peak seeking method to approach the maximum biomass production rate in a continuous stirred tank bioreactor. Two models, Monod and Haldane, are investigated and it is shown by simulation that the peak seeking scheme achieves optimization for both cases. A stabilizing feedback controller with a washout filter is designed to extend the operating range for the Haldane model. The work was supported in part by the National Science Foundation under Grant ECS-9624386 and in part by the Air Force Office of Scientific Research under Grant F08671-9800319. y Corresponding author. 1 Introduction The application of modern model-based techniques for optimization and control of bioreactors is hampered by a major bottleneck: the difficulty of identifying reliable first principle models for these highly nonlinear and widely uncertain systems