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首页> 外文期刊>International Journal of Control, Automation, and Systems >An Adaptive Backstepping Trajectory Tracking Control of a Tractor Trailer Wheeled Mobile Robot
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An Adaptive Backstepping Trajectory Tracking Control of a Tractor Trailer Wheeled Mobile Robot

机译:拖拉机拖车轮式移动机器人的自适应Backstepping轨迹跟踪控制

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摘要

The considered Tractor Trailer Wheeled Mobile Robot (TTWMR) is type of Mobile Robot including a master robot - Tractor and slave robots - Trailers which moves along Tractor to track a given desired trajectory. The main difficulties of the stabilization and the tracking control of TTWMR are due to nonlinear and underactuated systems subjected to nonholonomic constraints. In order to overcome these problems, firstly, we develop the model of TTWMR and transform the tracking error model to the triangular form to propose a control law and an adaptive law. Secondly, the varying time state feedback controllers are designed to generate actuator torques by using Backstepping technique and Lyapunov direct's method, in that these are able to guarantee the stability of the whole system including kinematics and dynamics. In addition, the Babarlat's lemma is used to prove that the proposed tracking errors converge to the origin and the proposed adaptive law is carried on to tackle unknown parameter problem. The simulations are implemented to demonstrate the effective performances of the proposed adaptive law and the proposed control law.
机译:被审议的拖拉机拖车转动移动机器人(TTWMR)是移动机器人的类型,包括主机器人 - 拖拉机和从机器人 - 拖车沿拖拉机移动以跟踪给定的所需轨迹。 TTWMR稳定和跟踪控制的主要困难是由于非完整约束的非线性和欠扰系统。为了克服这些问题,首先,我们开发TTWMR的模型,并将跟踪误差模型转换为三角形形式,提出控制法和自适应法。其次,变化的时间状态反馈控制器被设计为通过使用反向技术和Lyapunov Direct的方法来生成执行器扭矩,从而能够保证整个系统的稳定性,包括运动学和动态。此外,巴勒拉特的引理程序用于证明所提出的跟踪误差会聚到原点,并且拟议的自适应定律正在进行解决未知参数问题。实施模拟以展示拟议的自适应法和拟议的控制法的有效性能。

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