利用Vortex Studio进行六轮月球车输出跟踪控制设计的高保真软件在环仿真

M. Mottaghi, R. Chhabra, Wei Huang
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摘要

由于重量轻、牵引力强、稳定性好,后轮转向的六轮自动探测车被设计用于月球探测项目。本文提出了一个软件在环仿真(SILS)系统,该系统包含一个用MAT-LAB编码的控制器和一个在Vortex Studio中建模的系统的数字孪生体。该控制器是基于系统的控制方程和静态反馈线性化来完成输出跟踪控制任务的。利用拉格朗日-达朗贝尔原理,在理想非完整约束条件下,在所有车轮均为点接触的假设下,导出了各车轮的运动方程。在文献中,这种简化的假设通常被认为是自动漫游车系统的控制策略。该机器人的数字孪生体被建模为具有真实参数的多体系统,在三维软/粗糙地形上移动,由Vortex Studio提供任意轮胎模型。将所开发的SILS的结果与在简化假设(理想工厂)下在MATLAB中完全编码的二维仿真结果进行了比较。这种比较揭示了真实漫游车系统与其常用数学模型之间经常存在的差异。该研究揭示了孤立的物理现象(如车轮滑移和牵引力分布)对控制性能的影响,并可用于为漫游车系统设计增强型控制器。
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High-fidelity Software-in-the-loop Simulation of a Six-wheel Lunar Rover using Vortex Studio for Output-tracking Control Design
Six-wheel autonomous rovers with skid-steering rear wheels have been designed for Lunar exploration programs due to their lightweight and their enhanced traction and stability. In this paper, a Software-in-the-loop Simulation (SILS) is presented for such a system containing a controller coded in MAT-LAB and a digital twin of the system modeled in Vortex Studio. The controller is developed based on the system's governing equations and static state feedback linearization to perform an output-tracking control task. The equations of motion are derived using Lagrange-d’ Alembert principle subject to ideal nonholonomic constraints and under the point-contact assumption at all wheels. Such simplifying assumptions are commonly considered in proposed control strategies for autonomous rover systems in the literature. The digital twin of the rover is modeled as a multi-body system with realistic parameters moving on 3-dimensional soft/rough terrains with arbitrary tire models provided by Vortex Studio. The results of the developed SILS are compared to those of a 2-dimensional simulation that is fully coded in MATLAB under the simplifying assumptions (ideal plant). This comparison discloses often existing discrepancies between real rover systems and their commonly used mathematical models. This study reveals the effects of isolated physical phenomena, e.g., wheel-slip and tractive force distribution, on the control performance, and can be utilized to design enhanced controllers for rover systems.
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