Surrogate-based Optimization-aided Design for Low Power Analog Circuits

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原文链接

NETL

外文摘要：Automatic and flexible analog integrated circuit design is still an open topic。 Simulation-based optimization is accurate but relies on the efficacy of heuristics to find a solution。 Equation-based optimization is faster， can work with both gradients and heuristic algorithms but the accuracy depends on the set of equations。 We propose an equation-based surrogate model that combines physics-based transistor model， curve fitting approximations for device parameters， and circuit analysis describing the metrics of the circuit to optimize。 Two design examples are provided as proof of concept of the proposed optimization framework， a 2nd-order active-RC Butterworth filter， and a Capless-LDO。 The results prove this technique to be effective finding solutions for different processes technologies and flexible to the specifications。 Multi-objective optimization is used to generate a Pareto front representing the design trade-off。

外文关键词：

Mathematical modelOptimizationComputational modelingIntegrated circuit modelingTransistorsThreshold voltageAnalog circuits

作者：

Sergio Soto-Aguilar、Adriana Sanabria-Borbón、Edgar Sánchez-Sinencio

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作者单位：

Analog and Mixed-Signal Center, Texas A&M University, College Station, TX

会议名称：

IEEE International Midwest Symposium on Circuits and Systems

会议地点：

Windsor(CA)

会议母体文献：

2018 IEEE 61st International Midwest Symposium on Circuits and Systems

页码：

566-569

出版时间：

2018

DOI：

10.1109/MWSCAS.2018.8623941