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Real-time Ph Control Using Fuzzy Logic and Genetic Algorithms.

Authors
Karr-CL; Gentry-EJ
Source
SME Preprint 92-49 :5 pages
Link
NIOSHTIC No.
10011575
Abstract
Establishing suitable control of ph, a requirement in a number of mineral and chemical industries, poses a difficult problem because of inherent nonlinearities and frequently changing process dynamics. Researchers at the U.S. Bureau of Mines have developed a technique for effectively controlling such systems. This technique successfully combines the process control capabilities of fuzzy logic and the search capabilities of genetic algorithms. Fuzzy logic offers an effective mechanism for handling nonlinearities, while genetic algorithms can provide fuzzy logic controllers with real-time adaptive capabilities. This Bureau-developed technique is applied to a laboratory acid-base neutralization experiment. Nonlinearities in the laboratory system are associated with the logarithmic ph scale and the changing process dynamics are due to alterations in ph and buffering capacity input solutions. Results indicate fuzzy logic controllers augmented with genetic algorithms offer a powerful alternative to conventional process control techniques in such nonlinear, rapidly changing systems.
Publication Date
19920101
Document Type
OP;
Fiscal Year
1992
NTIS Accession No.
NTIS Price
Identifying No.
OP 35-92
NIOSH Division
TURC;
Source Name
SME Preprint 92-49
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