Output fluctuation and overshoot restraining for a class of nonlinear discrete-time systems using a modified model-free adaptive control

This paper modifies the prototype model-free adaptive control (PMFAC) approach in which system output fluctuation and overshoot (SOFO) is easy to occur. Targeting a class of nonlinear discrete-time single-input single-output systems, historical input/output sensor data are utilized to online construct equivalent explicit data model for control design, making the controller model-free. Then, a novel compensation input term including a compensation gain and a signum function parameterized by incremental output is proposed to soften system inputs, which can in turn restrain the SOFO. Numerical simulations and a speed control experiment for a direct current motor verify that the modified approach can restrain the SOFO successfully and reduce response time compared with the PMFAC.

Authors

Institutions

Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2024-09-27
DOI
https://doi.org/10.1177/01423312241279600
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Output fluctuation and overshoot restraining for a class of nonlinear discrete-time systems using a modified model-free adaptive control

Lanqing Liu, Peng Wang, Yanling Tang, Yu Xia et al.
Transactions of the Institute of Measurement and Control
Advanced Control Systems Optimization
article

Output fluctuation and overshoot restraining for a class of nonlinear discrete-time systems using a modified model-free adaptive control

Lanqing Liu, Peng Wang, Yanling Tang, Yu Xia, Yuan Wang
article en

Abstract

This paper modifies the prototype model-free adaptive control (PMFAC) approach in which system output fluctuation and overshoot (SOFO) is easy to occur. Targeting a class of nonlinear discrete-time single-input single-output systems, historical input/output sensor data are utilized to online construct equivalent explicit data model for control design, making the controller model-free. Then, a novel compensation input term including a compensation gain and a signum function parameterized by incremental output is proposed to soften system inputs, which can in turn restrain the SOFO. Numerical simulations and a speed control experiment for a direct current motor verify that the modified approach can restrain the SOFO successfully and reduce response time compared with the PMFAC.

Transactions of the Institute of Measurement and ControlVol. 47(10)
Yangzhou University (CN)
Openalex Percentile: Top 82%
Advanced Control Systems Optimization
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.