In this article, a simulation model of an intelligent control system for a bioreactor used in the bacterial oxidation process of sulfide deposits with complex, gold-enriched content is developed using the functional blocks from the Fuzzy Logic Toolbox library in the MATLAB software package. Furthermore, the mathematical model of the bioreactor is represented through its transfer function in the significant adjustment channel. A rule base is established to regulate the variation of input and output parameters for the fuzzy control system. The study reveals that employing a fuzzy controller for bioreactor systems is an effective method for system adjustment.