Estimation of transient process for singularly perturbed synchronization system with distributed parameters

TL;DR

This paper develops new estimates for cycle slipping in phase synchronization systems modeled by integro-differential equations, using Popov's method, with results uniform across small parameters.

Contribution

It introduces effective, uniform estimates for cycle slipping in singularly perturbed synchronization systems using Popov's integral method.

Findings

New bounds for the number of cycle slips are derived.

Estimates are uniform with respect to the small parameter.

The approach enhances understanding of transient behaviors in PSS.

Abstract

Many systems, arising in electrical and electronic engineering are based on controlled phase synchronization of several periodic processes ("phase synchronization" systems, or PSS). Typically such systems are featured by the gradient-like behavior, i.e. the system has infinite sequence of equilibria points, and any solution converges to one of them. This property however says nothing about the transient behavior of the system, whose important qualitative index is the maximal phase error. The synchronous regime of gradient-like system may be preceded by cycle slipping, i.e. the increase of the absolute phase error. Since the cycle slipping is considered to be undesired behavior of PSSs, it is important to find efficient estimates for the number of slipped cycles. In the present paper, we address the problem of cycle-slipping for phase synchronization systems described by integro-differential Volterra equations with a small parameter at the higher derivative. New effective estimates for a number of slipped cycles are obtained by means of Popov's method of "a priori integral indices". The estimates are uniform with respect to the small parameter.