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A new approach to magnetic circuit analysis and its application to the optimal design of a bi-directional magnetorheological brake

机译:磁路分析的新方法及其在双向磁流变制动器优化设计中的应用

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摘要

This paper proposes a new approach to modeling the magnetic circuit of an MR brake and applies it to explore an engineering optimization problem. The MR brake used in this work is a bi-directional type whose range of braking torque varies from negative to positive values. The model of the bi-directional MR brake can be split into two components: the mechanical part and the magnetic circuit. While the mechanical part is modeled using Bingham's equation, an approach to modeling the magnetic circuit is proposed in this work. For verification of the effectiveness of this method, an optimal design aiming to minimize the mass subjected to the geometric and desired torque constraints is undertaken. In order to solve such an optimization problem, which consists of numerous constraints and potential local optima, a particle swarm optimization (PSO) algorithm in combination with a gradient-based repair method is proposed. The optimal solution of the problem obtained from the proposed method is then investigated and compared with that obtained from finite element analysis (FEA). In addition, an experiment on a manufactured bi-directional MR brake with the optimal parameters is undertaken to validate the accuracy of the proposed analysis methodology.
机译:本文提出了一种对MR制动器的磁路建模的新方法,并将其应用于探索工程优化问题。这项工作中使用的MR制动器是双向制动器,其制动扭矩范围从负值变为正值。双向MR制动器的模型可以分为两个部分:机械部分和磁路。虽然机械零件是使用Bingham方程建模的,但本文提出了一种建模磁路的方法。为了验证该方法的有效性,进行了旨在使承受几何和期望扭矩约束的质量最小化的最佳设计。为了解决这种由众多约束和潜在局部最优组成的优化问题,提出了一种基于粒子群优化(PSO)算法与基于梯度的修复方法相结合的算法。然后研究从所提出的方法获得的问题的最优解,并将其与从有限元分析(FEA)获得的最优解进行比较。此外,对具有最佳参数的双向MR制动器进行了实验,以验证所提出分析方法的准确性。

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