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

On controlling pH

On controlling pH

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

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

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 Institution of Electrical Engineers
Published

The paper summarises a recent investigation to find out what contribution could be made to pH regulation by modern algorithms for online estimation and/or adaptive control. Topics discussed include a mathematical model to account for nonlinearity; full-scale trials using selftuning controllers; a specially developed nonlinear estimator; use of resulting estimates to drive a suboptimal ‘cautious’ control law; and a specialpurpose CAD package. It is concluded that pH regulation is amenable to good engineering practice, and that whether or not this should include modern algorithms is a problem-specific question which can be answered using the CAD package.

Inspec keywords: pH control; process computer control; adaptive control; control system CAD

Other keywords: pH control; adaptive control; nonlinearity; mathematical model; self-tuning controllers; CAD package; nonlinear estimator

Subjects: Self-adjusting control systems; Chemical variables control; Industrial applications of IT; Industrial processes; Control technology and theory (production); Chemical industry; Control engineering computing; Control applications in chemical and oil refining industries

References

    1. 1)
      • R.L. Moore . (1978) , Neutralisation of waste water by pH control.
    2. 2)
      • Gustafsson, T.K.: `A study of modelling and control of pH', 1984, Doctoral thesis, Abo Akademi, Report 84-4.
    3. 3)
      • P.J. Orava , A.J. Neimi . State model and stability analysis of a pH control process. Int. J. Control , 557 - 567
    4. 4)
      • O.L.R. Jacobs . Recursive estimation for nonlinear Wiener systems by online implementation of Bayes rule. Trans. Inst. Meas. & Control , 5 , 245 - 250
    5. 5)
      • Badran, W.A.: `On designing algorithms for controlling pH', 1984, DPhil thesis, University of Oxford.
    6. 6)
      • O.L.R. Jacobs . (1987) , pH regulation Encyclopaedia of systems and control.
    7. 7)
      • Hewkin, P.F.: `The control of pH using modern algorithms and online computers', 1979, D.Phil, thesis, University of Oxford.
    8. 8)
      • C.G. Proudfoot , D.W. Clarke , O.L.R. Jacobs , P.S. Tuffs . (1985) , Comparative study of self-tuning controllers regulating pH in an industrial process.
    9. 9)
      • O.L.R. Jacobs , P.F. Hewkin , G. While . Online computer control of pH in an industrial process. IEE Proc. D, Control Theory & Appl. , 4 , 161 - 168
    10. 10)
      • C.G. Proudfoot , P.J. Gawthrop , O.L.R. Jacobs . Self-tuning PI control of a pH neutralisation process. IEE Proc. D, Control Theory & Appl. , 5 , 267 - 272
    11. 11)
      • Jacobs, O.L.R., Badran, W.A.: `CAD of pH control systems', 11.2/D/2, 9th IFAC congress, 1984, Budapest.
    12. 12)
      • Jacobs, O.L.R., Badran, W.A.: `A computer package for designing pH regulation systems', Report 1506/3, 1983.
    13. 13)
      • P.D. Roberts . Non-linear control of a neutralisation process. Meas. & Control , T151 - T157
    14. 14)
      • F.G. Shinskey . (1973) , pH and pION control.
    15. 15)
      • Proudfoot, C.G.: `Industrial implementation of on-line computer control of pH', 1983, DPhil thesis, University of Oxford.
    16. 16)
      • O.L.R. Jacobs , M.S. Briggs . Monte Carlo comparisons of estimators for pH nonlinearity. Trans. Inst. Meas. & Control , 6 , 287 - 292
    17. 17)
      • O.L.R. Jacobs , J.W. Patchell . Caution and probing in stochastic control. Int. J. Control , 189 - 199
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-d.1987.0029
Loading

Related content

content/journals/10.1049/ip-d.1987.0029
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address