6533b851fe1ef96bd12a987a
RESEARCH PRODUCT
Fuzzy control of pH using NAL
Vincenzo CappellaniUmberto GarofaloMosè Galluzzosubject
Adaptive neuro fuzzy inference systemAdaptive controlAutomatic controlComputer scienceApplied Mathematicsfuzzy logicpH controlexpert systemsFuzzy control systemprocess controladaptive controlDefuzzificationFuzzy logicTheoretical Computer Sciencelogic programmingArtificial IntelligenceControl theoryFuzzy numberSoftwaredescription
Abstract 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1991-11-01 | International Journal of Approximate Reasoning |