A Neuroadaptive Position-Sensorless Robust Control for Permanent Magnet Synchronous Motor Drive System with Uncertain Disturbance

Omar Aguilar-Mejia; Valderrabano-Gonzalez, Antonio; Norberto Hernández-Romero; Juan Carlos Seck-Tuoh-Mora; Julio Cesar Hernandez-Ochoa; Hertwin Minor-Popocatl

doi:10.3390/en17215477

A Neuroadaptive Position-Sensorless Robust Control for Permanent Magnet Synchronous Motor Drive System with Uncertain Disturbance

Journal

Energies

ISSN

1996-1073

Date Issued

2024

Author(s)

Omar Aguilar-Mejia

Valderrabano-Gonzalez, Antonio

Facultad de Ingeniería - CampGDL

Norberto Hernández-Romero

Juan Carlos Seck-Tuoh-Mora

Julio Cesar Hernandez-Ochoa

Hertwin Minor-Popocatl

Type

text::journal::journal article

DOI

10.3390/en17215477

URL

https://scripta.up.edu.mx/handle/20.500.12552/11655

Abstract

The Permanent Magnet Synchronous Motor (PMSM) drive system is extensively utilized in high-precision positioning applications that demand superior dynamic performance across various operating conditions. Given the non-linear characteristics of the PMSM, a neuroadaptive sensorless controller based on B-spline neural networks is proposed to determine the control signals necessary for achieving the desired performance. The proposed control technique considers the system’s non-linearities and can be adapted to varying operating conditions, all while maintaining a low computational cost suitable for real-time operation. The introduced neuroadaptive controller is evaluated under conditions of uncertainty, and its performance is compared to that of a conventional PI controller optimized using the Whale Optimization Algorithm (WOA). The results demonstrate the viability of the proposed approach.