Algorithms for synthesis of a fuzzy control system chemical reactor temperature

The issues of synthesis of a fuzzy control system for ill-defined technological processes are considered. An effective algorithm for the synthesis of a fuzzy logic controller and a fuzzy system for automatic regulation of the temperature regime of a chemical reactor, invariant to parametric and external disturbances, is presented. The proposed synthesis algorithm for a fuzzy-logical proportional-integral-differential (PID) -controller is simple and allows you to use a standard form of description of linguistic variables and a minimum set of control rules. The synthesized fuzzy logic controller gives the entire automatic control system the ability to maintain the reactor temperature at a given level in the presence of external disturbances, as well as to qualitatively control the technological process with a wide range of changes in its parameters over time. The used methods of the theory of fuzzy logic and neural networks allow you to operate with linguistic fuzzy statements. The bases of the rules of logical inference of a fuzzy-logical regulator in the form of a Cartesian product of fuzzy sets with a membership function, which has a trapezoidal shape, have been formed. The results of modeling a fuzzylogic control system showed that if there is a noisy external disturbing signal in the system and its level changes up to 30%, as well as changes in the parameters of the control object (gain and constant time) up to 25% (in the direction of increasing and decreasing), the fuzzy system retains the properties of stability.

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