The High-Efficiency Optimization Design Method for Two-Stage Miller Compensated Operational Amplifier
The High-Efficiency Optimization Design Method for Two-Stage Miller Compensated Operational Amplifier
Abstract:
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 0.1371μ m2 72.09μ 20803.
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The High-Efficiency Optimization Design Method for Two-Stage Miller Compensated Operational Amplifier
