Abstract

NUNEZ-PEREZ, Ricardo Francisco  and  PENA-RAMIREZ, Jonatan. Asynchronous and synchronous converter in binary states: applications to square and nonlinear analog signals. Ing. invest. y tecnol. [online]. 2022, vol.23, n.4, e1899.  Epub May 01, 2023. ISSN 2594-0732.  https://doi.org/10.22201/fi.25940732e.2022.23.4.027.

This work proposes the design of an alert binary signal, which can be used in order to identify the loss of synchronization in dynamical systems. In particular, this paper presents an experimental study related to the detection and evaluation, in real time, of the differences between the signals produced by unidirectionally coupled systems by considering their phase and amplitude profiles, which are obtained using a particular envelope analysis and the DADiSP® and LabVIEW® software. The synchronized signals are obtained from educational experimental platforms, which emulate the dynamic behavior of biological and chaotic systems. Specifically, a pair of “electronic fireflies”, constructed with opto-synchronized astable multivibrators producing square signals are used, and also, a “pair of analog chaotic Lorenz encryptors” are considered. The synchronous and asynchronous conditions are identified by means of a binary signal with logic states 0 and 1, respectively. In order to construct this signal, it is necessary to know: a) the instants at which the differences and asynchronies take place and its duration, and b) the location of the maxima of the error signal and its magnitudes. Therefore, an averaging FIR filter with an appropriate smoothing factor is used for graphically computing the envelope and the maxima of the asynchronies and, by using a threshold comparator, the corresponding instants and durations are obtained. The resulting signal contains a duty cycle, which is modulated by the asynchrony and gives an indication about its asynchrony percentage. The proposed procedure can be used to validate similarities or attacks on the peak factor trends, which are important for the care and monitoring of industrial machinery.

Keywords : Asynchrony; binary signal; FIR-envelope; electronic fireflies; Lorenz circuit.

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