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An Optimization Technique for Area Shrinking Problems Applied to MEMS Accelerometers

机译:应用于MEMS加速度计的区域缩小问题的优化技术

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Goal of this work is to find the minimal required sensor area of a MEMS accelerometer with consideration of given specifications. For a realistic and therewith complex sensor model this is only possible with numerical optimization, which has typically the difficulty of finding the global minimum. To achieve this we used standard available optimization algorithms and complemented them by additional algorithms implementing some techniques to find the minimal possible sensor layout. A miniaturized sensor's chip size reduces manufacturing costs and leads to more competitive package sizes. This is especially important for consumer applications like mobile phones and navigation devices, where an increasing demand of accelerometers is expected in the near future. With increasing miniaturization of a sensor it is increasingly important to find the optimal design in order to use chip area as efficiently as possible.
机译:这项工作的目标是考虑到给定规范,找到MEMS加速度计的最小所需传感器区域。对于一个现实的,而且复杂的传感器模型,这仅是数值优化的可能性,这通常是找到全局最小值的难度。为了实现这一点,我们使用标准的可用优化算法并通过实现一些技术来找到最小可能的传感器布局的附加算法来补充它们。小型化传感器的芯片尺寸可降低制造成本并导致更具竞争力的包装尺寸。这对于移动电话和导航设备等消费者应用尤其重要,其中在不久的将来预期加速度计的不断增加的需求。随着传感器的小型化,越来越重要地找到最佳设计,以便尽可能有效地使用芯片区域。

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