Multi-objective design optimization of a permanent magnet axial flux eddy current brake

Abstract

The main aim of this study is to optimize an axial flux eddy current damper to be used in a specific aviation application. Eddy current dampers are more advantageous compared to conventional mechanical dampers as they are maintenance-free due to contactless structure and have higher reliability, which is very desirable in aerospace applications. An initial eddy current brake prototype is manufactured and the test results are used to verify the 3-D finite element simulations. The effect of temperature on the brake performance is investigated. Finally, a multiobjective genetic algorithm optimization is applied to find the optimum pole number and geometric dimensions of the eddy current brake in order to achieve the desired torque-speed characteristic while the total weight of the brake is minimized. It is found that the mass and volume of the initial prototype can be halved by implementing this optimization algorithm.

A Review of Recent Developments in Permanent Magnet Eddy Current Couplers Technology

“…The authors of [147] developed a m linking the design parameters and the performance of a PMECC b modeling, and optimized the dynamic performance via a GA in ord rotational inertia of the rotating part and maximize the torque. Th modeled a cylindrical PMECC with bilateral PMs using the MEC meth it using a GA based on the analytical model with the optimiza maximizing the torque and minimizing the rotational inertia and vol [42] was based on FEM simulation to perform multi-objective optimiz of reducing the overall mass and volume of the brake while maintainin and this was solved using a GA.…”

“…The authors of [102] modeled a cylindrical PMECC with bilateral PMs using the MEC method, and optimized it using a GA based on the analytical model with the optimization objectives of maximizing the torque and minimizing the rotational inertia and volume. The study in [42] was based on FEM simulation to perform multi-objective optimization with the goal of reducing the overall mass and volume of the brake while maintaining the torque speed, and this was solved using a GA.…”

“…The process of modeling is used to solve the distribution of the magnetic field and eddy current by establishing the electromagnetic field model and the thermal model of the corresponding mechanical structure, and then to calculate the output of torque to evaluate the performance of the PMECC. The optimal design based on the existing model is used to find the optimal configuration for the required performance, to improve the efficiency of the device, to reduce the material cost, and to reduce the rotational inertia [42].…”

Optimization of Disk Magnetic Coupler Based on Orthogonal Test and Multiobjective Genetic Algorithm

“…Among them, genetic algorithm is the most popular and has good adaptive heuristic search. Tarvirdilu Asl et al [21] used the genetic algorithm to optimize the structural parameters of the permanent magnet eddy current coupler, but only the infuence of structural parameters on output magnetic torque was considered, and it did not optimize other performances. Compared with the above optimization methods, this article optimized the performance of the disk magnetic coupler in the form of multiobjective parameter optimization, comprehensively applied the range analysis method, nondominated sorting genetic algorithm (NSGA-II), and k-means clustering to obtain the optimal structural parameter combination of the disk magnetic coupler, and used the comprehensive evaluation function to evaluate and compare the optimization results, which has certain novelty.…”