Work

A neural-enhanced active disturbance load-side speed control of an electric drive with a flexible link

Year: 2025

Type: article

Abstract: The paper is focused on improvements of the conventional speed controller based on Active Disturbance Rejection Control (ADRC) applied for a two-mass electric drive system. The described ADRC structure is based on load-side speed measurement. The paper compares conventional structure dynamics with overall system behavior in the case plant parameters are changed. The proposed ADRC algorithm extension performs soft controller parameters adjustment to improve the dynamics and plant response. The presented approach accomplishes adaptation capabilities with the use of a Radial Basis Function Neural Network (RBFNN). The article presents the dynamic response of the plant controlled by the conventional ADRC algorithm and the designed neural adaptation extension. The results are based on the performed experimental tests.

Source: Archives of Electrical Engineering

DOI: 10.24425/aee.2025.153024

Authors: Grzegorz Kaczmarczyk, Radoslaw Stanislawski, Marcin Kaminski, Kacper Kasprzak, Danton Diego Ferreira

Institutions: Wrocław University of Science and Technology, Poznań University of Technology, Universidade Federal de Lavras

Language: English

Topic: Control Systems in Engineering

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $215