Research and MATLAB Simulation for the Locomotion Control Method of the Tandem Wheel-Legged Robot

In the field of robotics research involving mechatronics and advanced control technology, four-link tandem wheel-legged robots frequently face control instability issues. This study proposes a control strategy that combines LQR (Linear Quadratic Regulator) real-time feedback with VMC (Virtual Model Control) system mapping. The system dynamics model is established using the Newton-Euler method, then simplified and transformed into an inverted-pendulum model. The LQR algorithm is employed to control the simplified system, while VMC is utilized to map the leg virtual torque to the hip-joint motor output torque. MATLAB/Simulink simulations demonstrate the high adaptability of the model in complex environments and its practical application potential.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icaace65325.2025.11020375
Primary Topic
Robotic Locomotion and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Research and MATLAB Simulation for the Locomotion Control Method of the Tandem Wheel-Legged Robot

Rongbao Chen, Xizhang Chen, Ziyu Liu, Hongxia Fan
Robotic Locomotion and Control
article

Research and MATLAB Simulation for the Locomotion Control Method of the Tandem Wheel-Legged Robot

Rongbao Chen, Xizhang Chen, Ziyu Liu, Hongxia Fan
article en

Abstract

In the field of robotics research involving mechatronics and advanced control technology, four-link tandem wheel-legged robots frequently face control instability issues. This study proposes a control strategy that combines LQR (Linear Quadratic Regulator) real-time feedback with VMC (Virtual Model Control) system mapping. The system dynamics model is established using the Newton-Euler method, then simplified and transformed into an inverted-pendulum model. The LQR algorithm is employed to control the simplified system, while VMC is utilized to map the leg virtual torque to the hip-joint motor output torque. MATLAB/Simulink simulations demonstrate the high adaptability of the model in complex environments and its practical application potential.

Hefei University of Technology (CN)
Openalex Percentile: Top 88%
Robotic Locomotion and Control
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