关键词: 粒子群优化, 互阻增益, 共模抑制比, 输出电阻, 仿真

Abstract:

Particle swarm optimization algorithm, which uses the product of the transimpedance gain and common mode rejection ratio to  divide the output resistance as the fitness function,  was used to adaptively optimize the values of the resistance of two\|level direct coupled negative feedback differential\|common emitter circuit under the requirements of  large transimpedance gain, high common\|mode rejection ratio, low output resistance. The results indicate that the values of resistance always tend to set value limit to derive the maximal fitness function when the transimpedance gain and output resistance are respectively restricted, and the results were obtained under  the requirements of the algorithm. Moreover,   the optimal parameters can be found by changing fitness function under considering the different needs of the amplifier in engineering. With EWB software simulation, the relative error between transimpedance gain and theory for the calculation of feedback amplifier is 0.515％.

Key words: particle swarm optimization, transimpedance gain, common mode rejection ratio, output resistance, simulation