Passivity-Based Safe Maneuvering Control of Mechanical Systems With Input Constraints

For mechanical systems with input constraints, safe maneuvering control is investigated in this paper. How to accomplish the maneuvering task without violating safety constraints is the main challenge. To address the input constraints, the input constraints are expressed as state constraints of the augmented system by introducing a dynamic controller. First, a passivity-based desired controller is designed to fulfill the required maneuvering task without considering the multiple safety constraints. Then, multiple safety constraint functions are combined into a differentiable safety constraint function. Moreover, by using quadratic programming, a synthesis method for the safety controller with minimum deviation from the desired controller is given. Finally, the effectiveness of the proposed control strategy is demonstrated using a three-wheeled omnidirectional mobile robot.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3584465
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Passivity-Based Safe Maneuvering Control of Mechanical Systems With Input Constraints

Wei Yuan, Mingyue Cui
IEEE Access
Dynamics and Control of Mechanical Systems
article

Passivity-Based Safe Maneuvering Control of Mechanical Systems With Input Constraints

Wei Yuan, Mingyue Cui
article en

Abstract

For mechanical systems with input constraints, safe maneuvering control is investigated in this paper. How to accomplish the maneuvering task without violating safety constraints is the main challenge. To address the input constraints, the input constraints are expressed as state constraints of the augmented system by introducing a dynamic controller. First, a passivity-based desired controller is designed to fulfill the required maneuvering task without considering the multiple safety constraints. Then, multiple safety constraint functions are combined into a differentiable safety constraint function. Moreover, by using quadratic programming, a synthesis method for the safety controller with minimum deviation from the desired controller is given. Finally, the effectiveness of the proposed control strategy is demonstrated using a three-wheeled omnidirectional mobile robot.

IEEE AccessVol. 13
Yantai University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 83%
Dynamics and Control of Mechanical Systems
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