Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Online adaptive control of a fermentation process

Online adaptive control of a fermentation process

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings D (Control Theory and Applications) — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The feasibility of an adaptive controller for the fermentation of baker's yeast is investigated. A simplified model of the process was developed to aid the design of the parameter estimator and multivariable controller. Experiments were performed on a small-scale, fully instrumented fermenter under the control of the online real-time adaptive package. Results are presented to show the successful performance of the adaptive technique achieved by controlling various process variables, in both SIMO and MIMO configurations. The work indicates that the application of the adaptive technique compares favourably with semiautomated control techniques while providing great opportunities for enhancement and thereby superior control. It has been found necessary to omit a considerable amount of the biological detail surrounding the fermentation process so that attention can be focussed upon the adaptive-control applications.

References

    1. 1)
      • Yousefpour, P.: `On-Line adaptive control of a multivariable fermentation process', 1982, Ph.D. thesis, Liverpool Polytechnic.
    2. 2)
      • B.H. Swanick , D.J. Sandoz . Real-time hybrid simulation of an adaptive control technique. Proc. IEE , 11 , 1165 - 2173
    3. 3)
      • H. Nicholson . Dual mode control of a time varying boiler model with parameter and state estimation. Proc. IEE , 385 - 395
    4. 4)
      • A.E. Humphrey . Computer-assisted fermentation developments. Dev. in Ind. Microbial. , 58 - 70
    5. 5)
      • G. Waterworth , B.H. Swanick . Investigation into the adaptive control of a fermentation process. Trans. of Inst. M.C. , 39 - 56
    6. 6)
      • D.M. Himmelblau . (1968) , Process analysis by statistical methods.
    7. 7)
      • B.H. Swanick , D.J. Sandoz . Real-time adaptive control of systems containing inaccessible state variables. Int. J. Control , 839 - 884
    8. 8)
      • A.H.E. Bijerk , R.J. Hall . A mechanistic model of the aerobic growth of saccharomyces cerevisiae. Biotech. & Bioeng. , 267 - 296
    9. 9)
      • P. Peringer , H.T. Blachere . Modelling and optimal control of baker's yeast production in repeated fed-batch culture. Biotech. & Bioeng. , 205 - 213
    10. 10)
      • D. Graupe , B.H. Swanick . Estimation of inaccessible state variables for processes with apriori unknown parameters. Int. J. Control , 553 - 557
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-d.1984.0021
Loading

Related content

content/journals/10.1049/ip-d.1984.0021
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address