The Estimation of Bessel Type Low-Pass Active Filter Parameters with Charged System Search Algorithm

Filter circuits are one of the significant elements of communication systems. These circuits are ones that provide the characteristic of decay at a demanded level or a delay at a demanded time in a defined frequency area. They are also accepted as selective devices that pass or block the values under or over a defined frequency and can be designed for many different purposes. In this study the design of a 10th degree Sallen-Key structure Bessel type low pass filter (SK-B-AGF) whose component selections and gain calculations take a long time with traditional methods, has been done.  And what the component values of the designed filter will be, has been optimized for continious values by using charged system search algorithm (CSS). In the case where constant values have been used, the total error has been minimized by accepting the component values as ideal and unlimited. The obtained optimum filter component values together with have been presented for each stage the quality factor (Q), the results have been evaluated.

The Estimation of Bessel Type Low-Pass Active Filter Parameters with Charged System Search Algorithm

Filter circuits are one of the significant elements of communication systems. These circuits are ones that provide the characteristic of decay at a demanded level or a delay at a demanded time in a defined frequency area. They are also accepted as selective devices that pass or block the values under or over a defined frequency and can be designed for many different purposes. In this study the design of a 10th degree Sallen-Key structure Bessel type low pass filter (SK-B-AGF) whose component selections and gain calculations take a long time with traditional methods, has been done.  And what the component values of the designed filter will be, has been optimized for continious values by using charged system search algorithm (CSS). In the case where constant values have been used, the total error has been minimized by accepting the component values as ideal and unlimited. The obtained optimum filter component values together with have been presented for each stage the quality factor (Q), the results have been evaluated.

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