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A decoupling approach for time-dependent robust optimization with application to power semiconductor devices

机译:用于功率半导体器件的时间依赖性鲁棒优化的解耦方法

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In this paper, a time-dependent robust optimization model is proposed by introducing a concept of expected interval quality loss as the robustness metric. The purpose is to provide a potential analysis tool for power semiconductor devices involving stochastic processes. Unlike conventional robustness indicators, the metric is formulated by calculating the expectation and variation of the maximal instantaneous quality loss and capturing the auto-correlation of the quality loss over the time interval. In terms of model solving, the time-dependent robust optimization involves a nested optimization, namely the outer design optimization requires to call the inner robustness analysis frequently. It will lead to extremely low computational efficiency. For reducing robustness evaluations, a decoupling framework is proposed to convert the nested optimization into a sequential iterative process of design optimization and time-dependent robustness analysis. For further improving the efficiency of each robustness analysis, a semi-second-order approximation of quality characteristics is created based on the information at the previous iteration. Two engineering applications of power semiconductor devices verify the validity and feasibility of the proposed approach.
机译:在本文中,提出了一种时间依赖的鲁棒优化模型,通过引入预期的间隔质量损失作为鲁棒度量来提出。目的是提供涉及随机过程的功率半导体器件的潜在分析工具。与传统的稳健性指示器不同,通过计算最大瞬时质量损失的期望和变化来制定度量,并捕获在时间间隔内的质量损失的自动相关性。在模型解决方面,时间依赖的鲁棒优化涉及嵌套优化,即外部设计优化需要频繁地调用内部稳健性分析。它将导致计算效率极低。为了减少稳健性评估,提出了一种解耦框架,将嵌套优化转换为设计优化和时间依赖性鲁棒性分析的顺序迭代过程。为了进一步提高每个稳健性分析的效率,基于先前迭代的信息创建质量特征的半二阶近似。功率半导体器件的两个工程应用验证了所提出的方法的有效性和可行性。

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