轮式移动机器人轨迹跟踪控制的优化增强型反步法

Ke Zhang, Bin Chai, Minghu Tan
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引用次数: 0

摘要

本文提出了一种应用于轮式移动机器人轨迹跟踪的新型控制方法。该方法可以解决由非人体工学约束和欠动特性造成的跟踪困难。首先,根据运动学和动态跟踪误差模型,获得轨迹跟踪所需的速度。其次,设计了由增益较少的增强型反步控制器和优化算法组成的控制方法。通过该方法的运行,移动机器人的实际轨迹被精确收敛并保持在预定的参考轨迹上。接下来,对这种具有全局均匀渐近稳定性的方法进行了理论分析。最后,在不同场景下进行了仿真比较和物理实验。通过收敛速度、跟踪精度和鲁棒性三个指标对跟踪性能进行了评估,从而验证了这种新型控制方法的有效性。
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Optimal enhanced backstepping method for trajectory tracking control of the wheeled mobile robot
This paper proposes a novel control method applied to the trajectory tracking of the wheeled mobile robot. This method can solve the tracking difficulty caused by the non‐holonomic constraint and the under‐actuated properties. First, according to the kinematic and dynamic tracking error models, the desired velocities for trajectory tracking purposes are obtained. Second, the control method, consisting of an enhanced backstepping controller with fewer gains and an optimization algorithm, is designed. The actual trajectory of the mobile robot is exactly converged and kept at the predefined reference trajectory by the operation of this method. Next, this method with globally uniformly asymptotically stability is theoretically analyzed. Finally, simulation comparisons and physical experiments are conducted in different scenarios. The tracking performance is evaluated by three metrics, namely convergence speed, tracking accuracy and robustness, thus verifying the effectiveness of the novel control method.
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