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One of the most critical variables to control in a steam power plant is superheater steam temperature. It must be carefully managed within a narrow temperature range; too high temperatures will cause material degradation. Temperature variation impacts the plant's efficiency, causing unplanned disturbances, because to frequent and intense load fluctuations and stringent requirement for performance and safety. To control the temperature level and maintain stability, the proposed hybrid approach is applied with MM-PSMC in this research. Fuzzy Logic Controller (FLC) and Golden Eagle Optimization [GEO] are combined in the suggested hybrid approach. Using the GEO technique, the FLC aims to increase control quality and identify the optimum value. This technique enables the superheater to attain the best-fit settings for the steam temperature plant while also increasing the plant's stability. The primary goal of this …