Tracking Control for Cart-Pole Pendulum System Based on Fully Actuated System Theory

This paper presents a tracking control of a cart-pole pendulum system based on a fully actuated system (FAS) approach. The dynamics of the cart-pole pendulum system is first simplified as a second-order FAS model, with which the control law can be synthesized for the desired tracking error dynamics in a very simple and straightforward way. The eigenstructure of the closed-loop system can be assigned arbitrarily using a parametric design approach, and the closed-loop system has been established. Compared to the linearization-based pole placement method, the proposed framework performs better in simulation experiments conducted on the cart-pole pendulum system. In the experiment, the effectiveness of the proposed method was validated on pratical systems.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138798
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Tracking Control for Cart-Pole Pendulum System Based on Fully Actuated System Theory

Weijie Ren, Guang‐Ren Duan, Haowen Liu, Ping Li
Adaptive Control of Nonlinear Systems
article

Tracking Control for Cart-Pole Pendulum System Based on Fully Actuated System Theory

Weijie Ren, Guang‐Ren Duan, Haowen Liu, Ping Li
article en

Abstract

This paper presents a tracking control of a cart-pole pendulum system based on a fully actuated system (FAS) approach. The dynamics of the cart-pole pendulum system is first simplified as a second-order FAS model, with which the control law can be synthesized for the desired tracking error dynamics in a very simple and straightforward way. The eigenstructure of the closed-loop system can be assigned arbitrarily using a parametric design approach, and the closed-loop system has been established. Compared to the linearization-based pole placement method, the proposed framework performs better in simulation experiments conducted on the cart-pole pendulum system. In the experiment, the effectiveness of the proposed method was validated on pratical systems.

Southern University of Science and Technology (CN)
Openalex Percentile: Top 70%
Adaptive Control of Nonlinear Systems
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