为多个非全局性移动机器人提供具有规定性能的角度约束自适应编队控制

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-11-11 DOI:10.1109/TIE.2024.3485715
Kun Li;Xu Fang;Kai Zhao;Yongduan Song
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引用次数: 0

摘要

与大多数现有的地层控制方案相比,受角度约束的地层具有最高的自由度,有利于实际应用。本文针对不确定的多非完整移动机器人,分别提出了基于角度约束的自适应队形和机动控制。在第一种策略中,控制机器人形成预定义的几何图案,而第二种策略侧重于在集体机动期间保持特定的队形,以支持移动机器人完成任务(如避障,区域覆盖和护送)。值得注意的是,通过构造全局性能函数,所开发的技术相对于初始状态是一致的,使控制算法在实践中更加人性化。此外,与基于应力矩阵的机动方法相比,该方法只需要较少数量的领导者和追随者的邻居,从而减少了感知环节和计算成本。实验结果验证了理论结果。
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Angle-Constrained Adaptive Formation Control With Prescribed Performance for Multiple Nonholonomic Mobile Robots
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.
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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