面向感知微系统的系统级设计方法

General design method for micro sensing systems

作为传感器系统的典型代表与技术发展趋势,感知微系统具有尺寸小、功能多与自供电等优势。然而当前的设计方法无法平衡其实用性能与约束性能之间的矛盾,使得其进一步发展陷入瓶颈。该文基于多学科设计优化思想提出一种针对感知微系统的系统级设计方法。该方法根据设计目标与各性能边界条件进行学科划分,在子系统分析器内进行参数分析后代入系统级优化器完成目标优化,最终实现感知微系统的优化设计。以重型车辆检测微系统为例,选取不同的设计目标进行系统级优化,并通过叠层集成的方式研制了验证样机。样机的性能测试结果与设计值相符,且满足优化设计目标的需求。该方法可行性和准确性表明,其能够在设计阶段平衡感知微系统的实用性能与约束性能,实现系统的最优化设计。

Micro sensing systems will be widely used in the future because they are small,multifunctional and self-powered.However,current designs do not balance their performance with key constraints which limits their further development.This paper presents a general design method for micro sensing systems based on multidisciplinary design optimization. The method facilitates optimization of micro sensing systems by analyzing the parameters in various subspaces to optimize the design. Vehicle detection micro-systems are used as an example with various optimization design targets for the prototypes.The test results coincide well with the design predictions and meet the design requirements. The method accuracy shows that it balances performance requirements with systems constraints during the design process to optimize the system.