基于符号分析法的CMOS模拟单元电路自动优化技术

Automated optimization technique of CMOS analog cell circuit based on symbolic analysis

在CMOS单元电路自动优化中提出了一个新的设计方法。此方法采用符号分析技术自动生成描述电路性能的精确解析方程,进而将性能符号方程作为遗传优化算法中的评价电路性能的准则。对于固定拓扑的电路,遗传优化算法通过寻优过程产生满足性能约束的电路设计参数集,从而实现设计者所希望的设计目标。实际电路的优化结果表明此方法能较好地满足性能要求,同时所需的设计时间较短,从而说明该方法是一个具有灵活性和可靠性的设计方法。

A methodology for automatic design optimization of CMOS analog cell circuits is presented. The proposed method uses symbolic analysis technique to generate exact analytic performance equations, describing the behaviors of circuits. The symbolic model is then passed to the genetic algorithm and is used as evaluating performance criterion. For the fixed topology, the algorithm sizes all elements to satisfy the performance constraints, thereby optimizing a user -defined design objective. Practical example shows that the method quickly designs analog cell circuits, closely meeting the specifications, and that it is a flexible and reliable design and exploration methodology.