Abstract
Power distribution in an electrical vehicle is improved by using a Direct Model Reference Adaptive Control (DMRAC) technique in a buck-boost converter in this study. DMRAC is used to overcome system nonlinearity caused by variations in load demand, various driving modes (like as acceleration, stability, and regenerative brake system mode), and system disturbances. In the face of nonlinearity, DMRAC's resilience and aptitude to preserve system stability have made it popular. The DMRAC controller's behaviour is related to a PI controller in the MATLAB/Simulink application in order to evaluate its usefulness in the current system. According to the findings of the simulations, DMRAC outperforms a typical PI control method in both situations of changing load demand and disturbed systems as determined by tracking error. This response improvement in the DMRAC is shown to result in lower tracking errors and quicker rejection of transient and disturbance signals. For the first time, DMRAC has been employed in a buck–boost converter for an electric automobile, and its efficiency has never been measured earlier.
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