Self identification algorithm for the autonomous control of rotating systems

Abstract

Intelligent machines are those capable of recognizing their operational condition and take actions towards optimality through an autonomous processing of information. In this work, a self identification algorithm is proposed for the autonomous decision and control of a rotating system with electromagnetic actuators. Based on the D-decomposition technique, the algorithm searches in the domain of controller gains the best ones to be adopted for P and PD controllers to reduce maximum peak response of the shaft and ensure stability for the closed-loop system. For that, frequency response functions are automatically identified experimentally by the algorithm. It is demonstrated that regions of stable gains can be easily plotted, and the most suitable gains can be found in order to minimize the resonant peak of the system in an autonomous way.