Method for optimizing integrated circuit of analog operational amplifier

Abstract

The invention discloses a method for optimizing an integrated circuit of an analog operational amplifier. The method has the advantages that according to the principle and requirement of an analog integrated circuit to be designed, the method can automatically design technical parameters and circuit parameters free from design parameters and the number of optimized targets by applying an intelligent optimized searching method of a Q-deviant immune network, can automatically search and find the optimal technical parameters and circuit parameters meeting the requirements of analog circuit performance indexes in a range of set values, namely meeting the requirements of high direct current gain, unit gain bandwidth, conversion velocity and low power consumption, and provides good foundation and accordance for high-performance analog integrated circuit technological design. Furthermore, the method is applicable to various analog circuit designs, is easy for transplanting, and has wide applicability and high universality.

Description

technical field [0001] The invention relates to an integrated circuit processing method, in particular to an integrated circuit optimization method of an analog operational amplifier. Background technique [0002] As circuit design enters the era of deep submicron and system-on-a-chip (SOC, System on a Chip), it is necessary to integrate the digital circuit part and the analog circuit part on the same chip to form an integrated circuit. In the whole integrated circuit design process, the design of the analog circuit part is the most challenging. There are many design parameters, complex performance indicators and multi-objective optimization problems in the design of analog circuits, which become the bottleneck in the design of integrated circuits. In the process of integrated circuit design, chip integration, power consumption, cost, and circuit stability are always contradictory factors. The increase in chip integration directly leads to an increase in power consumption, ...

AI Technical Summary

Problems solved by technology

The former mainly depends on the optimization algorithm on the basis of establishing the accurate relationship between design parameters and optimization performance indicators. Traditional optimization algorithms include gradient method, least square method, planning method, etc., but these traditional optimization algorithms are not suitable for obtaining multi-parameter, Multi-objective optimization problems, and often easily trapped in local optimum; the latter can only select design parameters based on experience, and carry out simulation comparison under the premise of known design parameters, so the best design parameters cannot be obtained

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