You need JavaScript to view this

Microprocessors control of fermentation process

Abstract

This paper presents three schemes for the solution of the optimal control of fermentation process. It also shows the advantages of using microprocessors in controlling and monitoring this process. A linear model of the system is considered. An optimal feedback controller is determined which maintains the states (substrate and organisms concentration) at desired values when the system is subjected to disturbances in the influent substrate and organisms concentration. Simulation results are presented for the three cases.
Publication Date:
Jan 01, 1980
Product Type:
Journal Article
Reference Number:
EDB-80-100777
Resource Relation:
Journal Name: J. Ferment. Technol.; (Japan); Journal Volume: 58:1
Subject:
09 BIOMASS FUELS; 59 BASIC BIOLOGICAL SCIENCES; FERMENTATION; PROCESS CONTROL; MICROPROCESSORS; EVALUATION; BIOSYNTHESIS; MATHEMATICAL MODELS; ON-LINE CONTROL SYSTEMS; PSEUDOMONAS; SINGLE CELL PROTEIN; BACTERIA; BIOCONVERSION; CONTROL; CONTROL SYSTEMS; MICROORGANISMS; ON-LINE SYSTEMS; SYNTHESIS; 140504* - Solar Energy Conversion- Biomass Production & Conversion- (-1989); 550700 - Microbiology
OSTI ID:
5232524
Research Organizations:
Univ. of Kent, Canterbury, England
Country of Origin:
Japan
Language:
English
Other Identifying Numbers:
Journal ID: CODEN: JFTED
Submitting Site:
TIC
Size:
Pages: 61-67
Announcement Date:
Sep 01, 1980

Citation Formats

Fawzy, A S, and Hinton, O R. Microprocessors control of fermentation process. Japan: N. p., 1980. Web.
Fawzy, A S, & Hinton, O R. Microprocessors control of fermentation process. Japan.
Fawzy, A S, and Hinton, O R. 1980. "Microprocessors control of fermentation process." Japan.
@misc{etde_5232524,
title = {Microprocessors control of fermentation process}
author = {Fawzy, A S, and Hinton, O R}
abstractNote = {This paper presents three schemes for the solution of the optimal control of fermentation process. It also shows the advantages of using microprocessors in controlling and monitoring this process. A linear model of the system is considered. An optimal feedback controller is determined which maintains the states (substrate and organisms concentration) at desired values when the system is subjected to disturbances in the influent substrate and organisms concentration. Simulation results are presented for the three cases.}
journal = []
volume = {58:1}
journal type = {AC}
place = {Japan}
year = {1980}
month = {Jan}
}