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Robust optimization of Powertrain Mounting System based on interval analysis

机译：基于区间分析的动力总成悬置系统的鲁棒优化

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摘要

Owing to the uncertainties of the manufacturing or installation errors, the real value of the Powertrain Mounting Systems (PMS) is always varying around its nominal value. These uncertainties will definitely deteriorate the performance of PMS. This paper proposes a robust design method based on interval analysis and Particle Swarm Optimization (PSO) for the optimization of PMS. First, the uncertain parameters of PMS are represented by interval numbers. Then the decupling ratio and nature frequency of PMS are calculated by interval analysis. To obtain the compact interval of the lower and upper bound of the decupling ratio and nature frequency, a combined method based on interval analysis and PSO is employed in the paper. To illustrate the effectiveness of the proposed method, a case study is given. By using the proposed method, the decoupling ratio can be improved significantly while the constraints are well satisfied. In addition, the variations of decoupling ratio and nature frequency can be obtained simultaneously. Consequently, it is easy to see that the proposed method is effective and robust for the optimization of PMS.
机译：由于制造或安装错误的不确定性，动力总成安装系统（PMS）的实际值始终在其标称值附近变化。这些不确定性肯定会降低PMS的性能。本文提出了一种基于区间分析和粒子群优化（PSO）的鲁棒设计方法，用于PMS的优化。首先，PMS的不确定参数由间隔号表示。然后通过区间分析计算出PMS的十倍率和自然频率。为了获得减小率和自然频率上下限的紧凑区间，本文采用了一种基于区间分析和PSO的组合方法。为了说明该方法的有效性，给出了一个案例研究。通过使用所提出的方法，可以很好地提高去耦率，同时可以很好地满足约束条件。另外，可以同时获得去耦比和自然频率的变化。因此，很容易看出所提出的方法对于PMS的优化是有效且鲁棒的。

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