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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Adaptive sliding mode control of a wheeled mobile robot towing a trailer
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Adaptive sliding mode control of a wheeled mobile robot towing a trailer

机译:轮式移动机器人拖挂拖车的自适应滑模控制

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摘要

Tractor-trailer systems have been widely used to increase load transportation capacity. Control of these systems started from motion aid facilities in human-driven vehicles to fully autonomous mobile robots in recent years. In fact, tractor-trailer wheeled robot has been proposed as a modular robotic system in which an actuated mobile robot tows a passive trailer. This is a highly nonlinear underactuated system subjected to nonholonomic kinematic constraints, stable tracking control of which is investigated in this article. To this end, first dynamic model and nonholonomic constraints of the system will be developed in the presence of uncertainties and external disturbances. Next, feasible reference trajectories for the system are generated considering the system constraints, and a Lyapunov kinematic control law is used to stabilize tracking errors. Then, an adaptive dynamic sliding mode controller is presented to control the wheeled mobile robot in the presence of external disturbances and uncertainties. Appropriate adaptive rules based on vigorous Lyapunov stability theorems are designed to compensate the wheeled mobile robot upper-bounded lumped uncertainties and automatically update controller gains. Next, the experimental setup is described, and the obtained results are presented and discussed. Experimental and comparative results reveal merits of the proposed approach in successful control of the overall system, that is, a wheeled mobile robot towing a passive trailer, leading to asymptotic tracking of reference trajectories.
机译:牵引车-拖车系统已被广泛用于增加货物运输能力。近年来,这些系统的控制从人类驾驶车辆中的运动辅助设备到全自动移动机器人开始。实际上,已经提出了拖挂式轮式机器人作为模块化机器人系统,在该系统中,被驱动的移动机器人拖曳被动式拖车。这是一个受到非完整运动学约束的高度非线性欠驱动系统,本文研究了其稳定的跟踪控制。为此,将在存在不确定性和外部干扰的情况下开发系统的第一动态模型和非完整约束。接下来,考虑系统约束,生成系统的可行参考轨迹,并使用Lyapunov运动控制律来稳定跟踪误差。然后,提出了一种自适应动态滑模控制器,用于在存在外部干扰和不确定性的情况下控制轮式移动机器人。基于剧烈Lyapunov稳定性定理的适当自适应规则旨在补偿轮式移动机器人的上限集总不确定性,并自动更新控制器增益。接下来,描述实验装置,并介绍和讨论获得的结果。实验和比较结果表明,该方法在成功控制整个系统(即轮式移动机器人拖曳无源挂车)方面具有优势,可导致对参考轨迹的渐进跟踪。

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