Abstract
In contrast with most existing formation control schemes, the angle-constrained formation enjoys the highest degree of freedom and is favorable for practical applications. In this article, we propose the angle-constrained-based adaptive formation shape and maneuvering control for uncertain multiple nonholonomic mobile robots, respectively. In the first strategy, the robots are controlled to form a predefined geometric pattern, while the second strategy focuses on maintaining a specific formation during collective maneuvers to support the mobile robots in their tasks (such as obstacle avoidance, area coverage, and escorting). It is worth noting that, by constructing a global performance function, the developed technique is uniform with respect to the initial states, making the control algorithm more user-friendly in practice. Furthermore, compared to the stress-matrix-based maneuver approach, the proposed method only needs a smaller number of leaders and followers’ neighbors, which can reduce the sensing links and computational cost. The experimental results are presented to verify the theoretical findings.
| Original language | English |
|---|---|
| Pages (from-to) | 6307-6316 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Industrial Electronics |
| Volume | 72 |
| Issue number | 6 |
| Early online date | 11 Nov 2024 |
| DOIs | |
| Publication status | Published - Jun 2025 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 1982-2012 IEEE.
Funding
This work was supported in part by the Fundamental Research Funds for the Central Universities under Project 2024CDJYXTD-007; in part by the National Natural Science Foundation of China under Grant 62403082, Grant 61933012, and Grant 62250710167; in part by Chongqing Top-Notch Young Talents Project under Grant cstc2024ycjhbgzxm0085; in part by the National Key Research and Development Program of China under Grant 2022YFB4701400/4701401; and in part by the Natural Science Foundation of Chongqing under Grant CSTB2023NSCQ-LZX0026.
Keywords
- Adaptive control
- formation control
- nonholonomic systems
- prescribed performance