Abstract
Analog filters design depends strongly on the appropriate selection of discrete components (Resistor and Capacitors). The challenge is to find the values which allow an optimal filters sizing with high accuracy. Some metaheuristics have proved a capacity to treat such problem effectively. In this paper, we present an application of two metaheuristic-based optimization techniques in order to select optimal values of resistors and capacitors from different manufactured series (E12, E24, E48, E96 and E192) to satisfy the filters design criteria. The Ant Colony Optimization technique (ACO) and the Genetic Algorithm (GA) are applied for the optimal sizing of two analog filters named a second order low-pass state variable filter and a high pass sallen-key filter. PSPICE simulations are given to validate the obtained results/performances.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.