Abstract
Decoupling capacitors are fundamental keys for the reduction of transient noise in power delivery networks; their arrangement and values are crucial for reaching this goal. This work deals with the optimization of the decoupling capacitors of a power delivery network by using a nature-inspired algorithm. In particular, the capacitance value and the location of three decoupling capacitors are optimized in order to obtain an input impedance below a specific mask, by using a nature-inspired algorithm, the genetic one, in combination with two electromagnetic solvers used to compute the objective function. An experimental board is designed and manufactured; measurements are performed to validate the numerical results.
Highlights
The requests, coming from the market and incorporated by the industry, are more and more steered toward a miniaturization of the devices with the target to improve their performances
Decoupling capacitance is used for the reduction of transient noise in power supply network, but at the same time, a redundant number of them can lead to a considerable series of design issues
But at the same time, a redundant number of them can lead to a considerable series of design issues
Summary
The requests, coming from the market and incorporated by the industry, are more and more steered toward a miniaturization of the devices with the target to improve their performances. All these efforts are not costless: Shrinking the device dimensions implies a non-negligible number of problems such as degradation of the signal quality, increase in heat dissipation problems, and manufacturing complexity. All these aspects result in a collection of power and signal integrity issues [1,2]. A trade-off between the number of decaps, as well as their values, and their proper arrangement on board is a must for today’s board design to fulfill all the requirements
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