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New Op-Amp Circuits Realizations Using Genetic Algorithm

机译:使用遗传算法的新型运算放大器电路实现

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摘要

Genetic Algorithm (GA) applications in analog design circuits play an important role with promising results. This paper introduces a proposed methodology based on the genetic algorithm and the symbolic representation to generate equivalent op-amp configurations for well-known filters. The proposed methodology is applied to the Tow-Thomas (TT) filter to generate 168 different configurations. Moreover, it is also applied on the KHN filter resulting in 30 equivalent circuits for each type. A part of the generated realizations is tested through simulations using PSPICE simulator and the simulation results determine the number of accepted circuits. A simulation comparison between the original filter configuration and some of the accepted configurations is done. Fortunately, a better performance compared to the original configuration is obtained from some generated circuits.
机译:遗传算法(GA)在模拟设计电路中的应用发挥着重要作用,并取得了可喜的结果。本文介绍了一种基于遗传算法和符号表示的提议方法,可为知名滤波器生成等效的运算放大器配置。所提出的方法应用于拖曳托马斯(TT)滤波器,以生成168种不同的配置。此外,它还应用于KHN滤波器,每种类型产生30个等效电路。通过使用PSPICE模拟器进行的仿真对生成的一部分实现进行了测试,仿真结果确定了可接受的电路数量。在原始过滤器配置和某些接受的配置之间进行了仿真比较。幸运的是,从某些生成的电路获得了与原始配置相比更好的性能。

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