Application of a Fractional Order PI Controller for a Speed Servo Drive Control

This paper deals with the tuning of the parameters of a fractional-order PI controller for the speed control of an electric servo drive in which the torque is set by a torque generator. The controller parameters are tuned using the multiple dominant pole method (MDPM), while the fractional order integrator is approximated by the Oustaloup method. The input parameters required for tuning the controller using MDPM are calculated using the optimization algorithm presented in this paper. This algorithm selects the optimal parameters from a set of points in three-dimensional space, based on the symmetry around a central point. The controller tuning is performed for the normalized control loop model. The obtained optimized normalized fractional order PI controller can then be applied to a real servo drive with specific parameters. The proposed tuning was also verified experimentally, comparing the obtained closed-loop responses with those of the integer-order PI controller. Both simulation and experimental results showed a significant reduction in the integral of the absolute error at the disturbance step compared to a control loop using an integer-order PI controller. This results in a faster output response to load torque steps and a smaller control error in a real servo drive.

Authors

Institutions

Publication Details

Journal
Symmetry
Published
2024-11-18
DOI
https://doi.org/10.3390/sym16111543
Citations
3
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
0.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of a Fractional Order PI Controller for a Speed Servo Drive Control

Pavol Bisták, Damir Vrančić, Igor Bélai, Mikuláš Huba
3 citations
Symmetry
Advanced Control Systems Design
0.98
article

Application of a Fractional Order PI Controller for a Speed Servo Drive Control

Pavol Bisták, Damir Vrančić, Igor Bélai, Mikuláš Huba
article en
3 citations

Abstract

This paper deals with the tuning of the parameters of a fractional-order PI controller for the speed control of an electric servo drive in which the torque is set by a torque generator. The controller parameters are tuned using the multiple dominant pole method (MDPM), while the fractional order integrator is approximated by the Oustaloup method. The input parameters required for tuning the controller using MDPM are calculated using the optimization algorithm presented in this paper. This algorithm selects the optimal parameters from a set of points in three-dimensional space, based on the symmetry around a central point. The controller tuning is performed for the normalized control loop model. The obtained optimized normalized fractional order PI controller can then be applied to a real servo drive with specific parameters. The proposed tuning was also verified experimentally, comparing the obtained closed-loop responses with those of the integer-order PI controller. Both simulation and experimental results showed a significant reduction in the integral of the absolute error at the disturbance step compared to a control loop using an integer-order PI controller. This results in a faster output response to load torque steps and a smaller control error in a real servo drive.

SymmetryVol. 16(11)
Slovak University of Technology in Bratislava (SK), Jožef Stefan Institute (SI), Higher Education Centre Novo Mesto (SI)
Javna Agencija za Raziskovalno Dejavnost RS
Affordable and clean energy
Openalex Percentile: Top 23%
Advanced Control Systems Design
0.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.