Extremum Seeking Control for a Class of Mechanical Systems

TL;DR

This paper introduces a new extremum seeking control method for affine connection mechanical systems, ensuring convergence to optimal points through high-frequency perturbations and averaging analysis.

Contribution

It develops a novel extremum seeking control law for mechanical systems using periodic signals and averaging theory, establishing stability and convergence properties.

Findings

Solutions converge to the averaged system in the high-frequency limit

Stability of the averaged system implies practical stability of the closed-loop system

Numerical simulations validate the theoretical results

Abstract

We present a novel extremum seeking method for affine connection mechanical control systems. The proposed control law involves periodic perturbation signals with sufficiently large amplitudes and frequencies. A suitable averaging analysis reveals that the solutions of the closed-loop system converge locally uniformly to the solutions of an averaged system in the large-amplitude high-frequency limit. This in turn leads to the effect that stability properties of the averaged system carry over to the approximating closed-loop system. Descent directions of the objective function are given by symmetric products of vector fields in the averaged system. Under suitable assumptions, we prove that minimum points of the objective function are asymptotically stable for the averaged system and therefore practically asymptotically stable for the closed-loop system. We illustrate our results by examples and numerical simulations.