![]() ![]() This study uses 6 TEGs modules which are suitable for micro-scale power plants for housing or areas that are still difficult to access the electricity grid. The difference between hot and cold temperatures can be converted into electricity using thermoelectric generators (TEGs). Matlab‐Simulink environment is used for the simulations, and the experimental results are tested by the micro‐processor to validate the superiority of the proposed method. It can be seen that the FO‐F‐ALO‐PID method provides much better results with faster dynamics. Finally, the merits of the presented controller are validated for various scenarios. Moreover, PSO‐PID and FO‐PSO‐PID controllers are designed to drive a comparison between them. Considering numerous disturbances on DC‐DC converters, an FO‐F‐PID controller can be an appropriate alternative since it is more robust against load variations and noise. ![]() ![]() Utilizing the ALO algorithm for tuning the FO‐PID gains depicts more accurate responses in solving constrained problems with diverse search spaces. Furthermore, to optimize the control parameters, an efficient algorithm so‐called Antlion Optimization (ALO) algorithm, is used. ![]() The FO‐PID control scheme has the capability to enhance the robustness of the control technique against disturbances and parametric variations. At the same time, the fuzzy part gathers the data based on the error and error derivative. To increase the tendency rate of the error to zero, the FO‐PID method is applied to a fuzzy‐logic‐based compensatory stage. A fractional‐order proportional‐integral‐derivative (FO‐PID) control scheme is utilized initially to damp the oscillations and remove the steady‐state error. Abstract The design of a Fractional‐Order fuzzy‐based PID (FO‐F‐PID) control structure is presented for Buck converter in the presence of harmful disturbances. ![]()
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