This paper proposes a novel smart maximum PowerPoint tracking (MPPT) based on a fuzzy logic controller (FLC) to ameliorate solar power outcomes. Many conventional MPPT techniques are employed, among them the perturbation and observation method, fixed and variable incremental conductance methods, and fractional open circuit voltage. The major drawbacks of the traditional methods are the slow response to the sudden fluctuation of the atmospheric conditions that cause a notable deviation in the MPP, inaccurate tracking, and complex structure. Hence, it causes a waste of the available energy and reduces the efficiency of the embedded solar system. To avoid the aforementioned demerits, a novel smart MPPT strategy based on FLC is proposed. Error and derived error (E&ΔE) between the reference input and actual input represent the input data of FLC, while the duty cycle (D) is the target data. The simulation and experimental tests prove the effectiveness, robustness, and efficiency of the FLC algorithm and support the system's analysis.