Desenvolvimento de uma plataforma de topologia flexível para estudo de redes de osciladores quadratura

This work presents the development of a platform for the automatic adjustment of topologies in electronic oscillators networks, allowing dynamic configuration of connections without the need for manual circuit reconfiguration during experiments. To achieve this, a system based on an STM32 microcontroller was designed to control bidirectional analog switches, enabling network structure modifications through a graphical interface developed in Python. The graphical interface allows the user to define the desired topology, sending the configurations to the microcontroller via USB serial communication, which receives the coupling matrix and translates the connections into digital signals for activating or deactivating the electronic switches. Additionally, the system assists in adjusting the frequency of the oscillators, ensuring greater precision in experiment configuration. Comparative tests were conducted between manually and automatically adjusted networks to validate the platform's functionality and accuracy. The results demonstrate that the system can correctly configure the connections between the oscillators, preserving signal integrity and ensuring fidelity across different network configurations. Furthermore, the frequency measurement performed by the software was validated using an oscilloscope, showing negligible error margins, which confirms the accuracy of the employed method. As future perspectives, the implementation of an integrated signal measurement system is suggested, allowing direct data acquisition and analysis through the software, along with the inclusion of automatic frequency and coupling strength adjustments using digital potentiometers. The platform’s scalability can also be enhanced to enable experiments with a larger number of oscillators, expanding its application in the study of coupled dynamic networks. The obtained results indicate that the developed platform significantly contributes to the execution of experiments in oscillator networks, providing greater flexibility, precision, and automation in experimental setup adjustments.