Optimal Design of a 2nd-Order Active Low-Pass Filter Rauch Structure using Genetic Algorithm

The values of discrete components (resistors and capacitors) which are selected in industrial series according to chosen constant values contribute strongly to the performance of analog filters. A complete search of all possible combinations of value choices for an optimized design is not feasible because it requires exorbitant calculation time. The researchers used metaheuristics, which have proven their ability to effectively deal with such a problem. In this article, we present an optimization technique based on Genetic Algorithm (GA) to address the design of the 2nd-order active low-pass filter (Rauch structure). The GA algorithm is applied to the design of the filter made with components selected from different manufactured series. CADENCE VIRTUOSO simulations are used to validate the results/performances obtained.