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Comparison of computer-aided tuning algorithms applied to the amplitude response of passive analogue filters

机译:应用于无源模拟滤波器幅度响应的计算机辅助调谐算法的比较

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Computer aided filter tuning methods have been based on a sensitivity analysis of the network function of interest. Two tuning algorithms, one proposed by Antreich, Gleissner and Muller (1975) and one by Jobe (1979) were first compared using a Monte-Carlo type analysis of fifty different circuit simulations. The method proposed by Antreich et al. was found to be the more efficient. Two low-pass passive L/C elliptic filters were then tuned. The magnitude responses of these filters were particularly suited to the application of both algorithms. The results showed that both methods were capable of tuning the filters to within the specification using a maximum of three iterations or only eighteen measurements providing that the adjustable inductors were operating over an approximately linear portion of their inductance against turns characteristic.
机译:计算机辅助的滤波器调整方法已经基于对目标网络功能的敏感性分析。首先使用蒙特卡洛类型分析对五十种不同的电路仿真进行比较,比较了两种调谐算法,一种是Antreich,Gleissner和Muller(1975)提出的,另一种是Jobe(1979)提出的。 Antreich等人提出的方法。被发现是更有效的。然后调谐两个低通无源L / C椭圆滤波器。这些滤波器的幅度响应特别适合两种算法的应用。结果表明,两种方法都能够使用最多3次迭代或仅进行18次测量就可以将滤波器调谐至规格范围内,前提是可调电感器针对匝数特性在其电感的近似线性范围内工作。

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