Study of pH control process using fuzzy modelling
Study of pH control process using fuzzy modelling
- Author(s):
- DOI: 10.1049/cp:19940144
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
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.
International Conference on Control '94 — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): Source: International Conference on Control '94, 1994 p. 272 – 275
- Conference: International Conference on Control '94
- DOI: 10.1049/cp:19940144
- ISBN: 0 85296 610 5
- Location: Coventry, UK
- Conference date: 21-24 March 1994
- Format: PDF
The inherent nonlinearity of the pH process often renders conventional control difficult. This nonlinearity does however suggests that pH control would be a suitable application area for a fuzzy control system, whose ability to handle nonlinearities is well known. Many fuzzy controllers are of the rule based type where the controllers output response is described by a series of control rules. However, the controller described in this paper is of a fuzzy-model based type which means that a fuzzy model of the process itself is embedded into the predictive control structure. The paper presents the performance of a fuzzy-model based pH controller for a strong base-weak acid neutralisation carried out in a constant volume CSTR. The performance of the fuzzy-model based controller is tested for various set points on the neutralisation curve.
Inspec keywords: process computer control; predictive control; fuzzy control; pH control; control nonlinearities
Subjects: Chemical industry; Industrial applications of IT; Optimal control; Control applications in chemical and oil refining industries; Chemical variables control; Control technology and theory (production); Control engineering computing; Nonlinear control systems; Industrial processes
Related content
content/conferences/10.1049/cp_19940144
pub_keyword,iet_inspecKeyword,pub_concept
6
6