基于PSO差分-共射负反馈放大电路参数的自适应优化

采用粒子群优化(PSO)算法, 以互阻增益和共模抑制比乘积对输出电阻的比作为适应度函数, 对差分\|共射两级直接耦合负反馈放大电路中的电阻值进行自适应优化.  优化结果表明, 对互阻增益和输出电阻分别限制时, 它们均趋于设定值的底限, 使适应度函数最大, 以符合算法要求, 从而可根据工程对放大器指标的不同需求, 改变适应度函数, 找到最佳电路参数.  经EWB软件仿真, 反馈放大器互阻增益与优化理论计算的最大相对误差为0.515％. 

Adaptive Optimization of Parameters for Differential\|Common Emitter Circuit Based on Particle Swarm Optimization Algorithm

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％.