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A new design approach based on differential evolution algorithm for geometric optimization of magnetorheological brakes

机译:基于微分演化算法的磁流变制动器几何优化设计新方法

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摘要

In recent years, various types of magnetorheological brakes (MRBs) have been proposed and optimized by different optimization algorithms that are integrated in commercial software such as ANSYS and Comsol Multiphysics. However, many of these optimization algorithms often possess some noteworthy shortcomings such as the trap of solutions at local extremes, or the limited number of design variables or the difficulty of dealing with discrete design variables. Thus, to overcome these limitations and develop an efficient computation tool for optimal design of the MRBs, an optimization procedure that combines differential evolution (DE), a gradient-free global optimization method with finite element analysis (FEA) is proposed in this paper. The proposed approach is then applied to the optimal design of MRBs with different configurations including conventional MRBs and MRBs with coils placed on the side housings. Moreover, to approach a real-life design, some necessary design variables of MRBs are considered as discrete variables in the optimization process. The obtained optimal design results are compared with those of available optimal designs in the literature. The results reveal that the proposed method outperforms some traditional approaches.
机译:近年来,已经提出了各种类型的磁流变制动器(MRB),并通过集成在商业软件(例如ANSYS和Comsol Multiphysics)中的不同优化算法进行了优化。但是,这些优化算法中的许多算法通常都具有一些值得注意的缺点,例如在局部极限处陷入解决方案的陷阱,设计变量的数量有限或难以处理离散的设计变量。因此,为克​​服这些限制并开发一种用于MRB优化设计的有效计算工具,本文提出了一种结合差分演化(DE),无梯度全局优化方法和有限元分析(FEA)的优化程序。然后,将所提出的方法应用于具有不同配置的MRB的最佳设计,包括常规MRB和带有放置在侧壳体上的线圈的MRB。此外,为了进行实际设计,在优化过程中,一些MRB的必要设计变量被视为离散变量。将获得的最佳设计结果与文献中可用的最佳设计进行比较。结果表明,该方法优于某些传统方法。

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