A Novel Analytical-Numerical Approach Based on Air-Gap Flux Density Distribution Function for Optimal Design of Permanent Magnet Linear Synchronous Generator

The conventional linear generators used for wave energy conversion applications suffer from significant losses and reduced efficiency. In addition, the existing design methods for optimally selecting the design parameters of the linear generators are often complicated and time-consuming. This paper aims to propose a novel analytical-numerical method for obtaining the optimal design parameters of the permanent magnet linear synchronous generator (PMLSG) for wave energy conversion systems. The proposed method is implemented based on the air-gap flux density distribution function (FDDF), and the random sample consensus (RANSAC) algorithm is employed to design the PMLSG. The implementation of the numerical procedure of the proposed model is done in MATLAB. Next, to validate the results of the proposed numerical step, an analytical finite element method-based procedure is executed, where the obtained optimal PMLSG is designed in the ANSYS/MAXIVELL. The evaluation of the obtained results confirms the accuracy and effectiveness of the proposed design model.