High Order Fully Actuated Modelling and Control of an Unmanned Vehicle

Initially, a high - order modeling approach is employed to develop an integrated kinematics and dynamics model for the differential - drive robot, enabling it to transformation from an underactuated system to a fully actuated system under specific states. Subsequently, tunable parameters are introduced into the system, expanding the scope of full-actuation control from partial states to all states, thereby significantly enhancing the control performance of the system. Finally, this paper successfully implements the modeling and full - actuation control of an integrated kinematics and dynamics fully - actuated system for an unmanned vehicle, and the effectiveness of the controller is validated through simulation experiments.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138556
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

High Order Fully Actuated Modelling and Control of an Unmanned Vehicle

Tan Zhang, Xiaoxu Liu, Jiamin Liu
Adaptive Control of Nonlinear Systems
article

High Order Fully Actuated Modelling and Control of an Unmanned Vehicle

Tan Zhang, Xiaoxu Liu, Jiamin Liu
article en

Abstract

Initially, a high - order modeling approach is employed to develop an integrated kinematics and dynamics model for the differential - drive robot, enabling it to transformation from an underactuated system to a fully actuated system under specific states. Subsequently, tunable parameters are introduced into the system, expanding the scope of full-actuation control from partial states to all states, thereby significantly enhancing the control performance of the system. Finally, this paper successfully implements the modeling and full - actuation control of an integrated kinematics and dynamics fully - actuated system for an unmanned vehicle, and the effectiveness of the controller is validated through simulation experiments.

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