履带式机器人的非线性控制

G. Veselov, A. Sklyarov, Jordanis Viltres Chávez
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引用次数: 0

摘要

提出了履带式机器人平台非线性控制的一种新方法。选择履带式移动机器人作为控制对象,是因为在其他地面车辆中,履带式移动机器人的机动性最强,能够在有限的空间条件下工作。考虑到控制对象的非线性特性,本文对移动机器人平台的数学模型进行了分析。此外,还提供了履带式机器人平台控制的现代方法和途径的概述。强调了移动机器人的控制问题,特别是基于系统线性化方法的方法和方法的应用,使得具有这些控制律的机器人系统局限于某些局部控制算法。因此,本文介绍了使用新的非线性方法来控制移动机器人,特别是协同控制理论的解释。在该理论的框架内,主要的方法是聚合调节器的分析设计方法(ADAR),该方法可以在不使用线性化程序或其他简化的情况下对大维复杂非线性系统的控制规律进行综合,因此采用该方法对移动机器人的协同控制规律进行综合。所得到的控制律考虑了移动机器人平台模型的非线性特性;因此,该控制策略保证了闭环系统的渐近稳定性和指定不变量的精确执行。为了验证所得到的系统,使用计算机模拟。仿真结果证实,在综合闭环移动机器人控制系统中,提供了以给定的平台取向角向工作平面的给定点运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-linear control of a tracked robot
The paper demonstrates a new approach to the nonlinear control of a tracked robotic platform. As a control object, a tracked mobile robot chosen because, among other ground vehicles, it is the most maneuverable and designed to work in conditions of limited space. To take into account the nonlinear characteristics of the control object, the article deals with the analysis of a mathematical model of a mobile robotic platform. Also, provides an overview of modern methods and approaches to the control of tracked robotic platform. The problems of controlling the mobile robot are highlighted, in particular, the application of methods and approaches based on the application of system linearization methods, which makes a robotic system with these control laws limited to certain local control algorithms. Therefore, the paper presents an explanation of the use of new non-linear approaches to the mobile robots control, in particular, synergetic control theory. The main method, within the framework of this theory, is the method of analytical design of aggregated regulators (ADAR), which allows to synthesize control laws for complex nonlinear systems of large dimensionality without using linearization procedures or other simplifications, so this method is used to synthesize the synergetic control law of a mobile robot. The resulting control laws takes into account the nonlinear properties of the mobile robotic platform model; therefore, this control strategy ensures the asymptotic stability of the close-loop system and the precise execution of the specified invariants. To verify the resulting system, computer simulation is used. The simulation results confirm that in the synthesized closed-loop mobile robot control system, movement to a given point of the working plane with a given angle of orientation of the platform is provided.
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