Fuzzy control of pH using NAL

A fuzzy controller for a neutralization process is described. The controller was set up for a laboratory pilot plant. The approach is shown to be effective and can be extended to highly nonlinear and nonstationary processes. The “operator” knowledge encoded in the rules was obtained by several exper...

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Bibliographic Details
Published inInternational journal of approximate reasoning Vol. 5; no. 6; pp. 505 - 519
Main Authors Galluzzo, Mosé, Cappellani, Vincenzo, Garofalo, Umberto
Format Journal Article
LanguageEnglish
Published Elsevier Inc 1991
Subjects
adaptive control
expert systems
fuzzy logic
logic programming
pH control
process control
pH control
logic programming
adaptive control
expert systems
process control
fuzzy logic
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Summary:A fuzzy controller for a neutralization process is described. The controller was set up for a laboratory pilot plant. The approach is shown to be effective and can be extended to highly nonlinear and nonstationary processes. The “operator” knowledge encoded in the rules was obtained by several experimental runs of the system using manual control. Rules are composed using the max-min compositional rule of inference. The use of metarules, which depends on controller performance and on active disturbances, makes the controller behave like an adaptive controller. The control program is encoded in NAL, a new experimental logic programming language that was first used in this work in a real-time application.
ISSN:0888-613X
1873-4731
DOI:10.1016/0888-613X(91)90027-J