The High-Efficiency Optimization Design Method for Two-Stage Miller Compensated Operational Amplifier

被引：1
|
作者：
Yang, Yunqi [1 ]
Yin, Xiaoyu [1 ]
Chen, Dongdong [1 ]
Li, Di [1 ]
Yang, Yintang [1 ]
机构：
[1] Xidian Univ, Sch Microelect, Xian 710071, Peoples R China
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2024年 / 71卷 / 04期
关键词：
Multi-objective optimization; neural network; particle swarm optimization algorithm; two-stage Miller-compensated operational amplifier; ANALOG;
D O I：
10.1109/TCSII.2023.3333333
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this brief, a high-efficiency optimization design method is proposed for a two-stage Miller-compensated operational amplifier (TSMCOA). In the proposed method, the parameters and performance metrics of TSMCOA are simulated by Cadence software. Then, the neural network (NN) models are utilized to describe the relationship between its parameters and performance metrics, which can greatly improve simulation efficiency. Based on the performance metrics of TSMCOA, a multi-objective function is established. Then, according to the NN models and multi-objective function, the parameters of TSMCOA are optimized by particle swarm optimization algorithm with linearly decreasing inertia weight (PSO-LDIW). The optimized area is 0.1371 mu m2 72.09 mu 20803
引用
收藏
页码：2029 / 2033
页数：5
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