Parametric topology optimization of a MEMS gyroscope for automotive applications
Parametric topology optimization of a MEMS gyroscope for automotive applications
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DOI：
10.1016/j.ymssp.2019.03.049
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发表时间：
2019-08
影响因子：
8.4
通讯作者：
Mohammad Reza Solouk;M. Shojaeefard;M. Dahmardeh
中科院分区：
文献类型：
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作者：
Mohammad Reza Solouk;M. Shojaeefard;M. Dahmardeh
汽车 MEMS 陀螺仪有多种用途，例如防翻车和动态稳定性。尽管有报道称陀螺仪用于汽车应用，但没有讨论这些应用的陀螺仪拓扑设计和优化。本文报告了适用于汽车应用的 MEMS 陀螺仪的参数拓扑尺寸优化。针对汽车应用，提出了具有静电感应/激励机制的平移双质量科里奥利振动陀螺仪 (CVG) 的结构优化。制造注意事项符合 X-FAB 程序，并且应用不确定性是车辆横向模型中固有的。所提出的设计方法考虑了优化中难以达到的应用不确定性水平，与理想模型相比，它提供了更可靠的结果。研究了超过一万三千个虚拟案例，计算了陀螺仪的性能指标，包括比例因子、线性度等。对最佳候选者执行基于 ISO 3888-1 的双车道变换 (DLC) 操作，以应用车辆应用限制。建议的最佳解决方案是相对于机动指示的目标横摆角速度具有最小横摆角速度误差的解决方案，最适合汽车应用。结果表明，利用优化算法，DLC机动的横摆率误差从约40%改善到约1.4%，说明了该方法的有效性。
Automotive MEMS gyroscopes are used for various purposes, such as rollover prevention and dynamic stability. Although, employment of gyroscopes for automotive applications is reported, what is not discussed is the gyro topology design and optimization for these applications. This article reports parametric topology size optimization of a MEMS gyroscope proper for automotive applications. The structure optimization of a translational dual-mass Coriolis vibratory gyroscope (CVG) with electrostatically sense/excitation mechanism is presented for automotive applications. Fabrication considerations conform to the X-FAB procedures, and application uncertainty is inherent in the vehicle lateral model. The proposed design approach takes into account the inaccessible levels of application uncertainty to optimization, which provides results that are more reliable, compared with the ideal models. More than thirteen thousand virtual cases are studied, in which the gyroscope performance specifications including scale factor, linearity, etc. are calculated. The double-lane-change (DLC) maneuver based on ISO 3888-1 is performed on the optimal candidates in order to apply the vehicle application constrains. The suggested optimal solution is the one with the least yaw rate error with respect to the target yaw rate instructed by the maneuver, which suits best for the automotive application. The results show that the yaw rate error of DLC maneuver improved from about 40% to about 1.4% using the optimization algorithm, which shows the effectiveness of the proposed method.