Upgrade Perturbation and Observation of MPPT Strategy via Fuzzy Logic Controller
Mujammal Ahmed Hasan Mujammal, Abdelhafidh Moualdia, Ouahid Bouchhida, Mohammed Abdulelah Albasheri
Abstract
In this paper, a novel intelligent algorithm based on the fast Fuzzy Logic Controller (FLC) is proposed to evaluate the Maximum Power Point Tracking (MPPT) founded on the Perturbation and Observation method P&O. Several techniques of solar energy controller have been proposed in the literature, among them the Perturbation and Observation method, fixed and variable incremental conductance methods, and Fractional open circuit voltage. Many drawbacks disadvantage the P&O technique, In a steady state, significant oscillations are centered on the MPP, which in turn to a waste of available energy as well, and rapid changes in atmospheric conditions cause a notable deviation in the MPP. In addition, the complex implementation of P&O. To avoid all defects mentioned above, a novel MPPT algorithm built on the FLC is proposed. Error and derived error ( <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$E\& {{\Delta }}E$</tex> ) between the reference input and actual input represent the inputs data of FLC, while the duty cycle (D) is the target data. The main aim of this work is to overcome the major defects of the traditional P&O method via the FLC controller. The simulation andexperimental validation tests prove the effectiveness, robustness, and efficiency of the FLC algorithm and support the system's analysis.