Design Automation of Two-Stage Operational Amplifier Using Multi-Objective Genetic Algorithm and SPICE Framework

Abstract

Analog and mixed-signal circuits products often have a lengthy design process and result in sub-optimal designs because analog performance metrics often have trade-offs, which makes the design of analog circuits challenging. This work develops an optimization methodology that integrates Multi-Objective Genetic Algorithm (MOGA) with Simulation Program with Integrated Circuit Emphasis (SPICE) framework to optimize performance metrics and meet the design specifications. Using the proposed MOGA-SPICE framework, the two-stage operational amplifier is demonstrated to achieve target design specifications by optimizing performance metrics or objectives. Utilizing MOGA framework, the two-stage operational amplifier’s objectives are optimized and design specifications are achieved, and the obtained results are integrated into SPICE for circuit verification. The SPICE-obtained performance metrics shows performance metrics in agreement to the desired design specifications (open-loop DC gain, phase margin, unity-gain bandwidth, slew rate, power dissipation and area) and shows better performance in comparison to the existing state-of-the-art literature.