Attitude Control of an All-Wheel-Drive Rover with Integrated Active Suspension System

S. Yin, Wenhui Wang, Longteng Hu, Zheng Zhu, Zhenzhong Jia
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Abstract

The attitude control is critical for omni-directional vehicles (ODVs) or mobile robots, especially when negotiating with uneven rocky terrains. To improve the pose control capability and traversability performance, some ODVs and rovers are equipped with active suspension system, through which one can improve the robot’s stability and maneuverability, thereby optimizing the robot’s body posture in real time. In this paper, we design an all-wheel-drive, all-wheel-steering ODV named Big Mars Rover (BMR) with integrated active suspension system consisting of independent active suspensions and passive rocker-type differential mechanism. We propose body attitude optimization methods based on hill-climbing and simulated annealing algorithms. We also build a simplified simulation model for BMR and conduct various experiments to verify the feasibility of different attitude optimization methods. The results suggest our BMR has very good body posture adjustment capability over uneven terrains while our attitude control strategies are reliable, demonstrating the effectiveness for future hardware experiments.
集成主动悬架的全轮驱动探测车姿态控制
姿态控制对于全向车辆或移动机器人来说是至关重要的,尤其是在崎岖不平的岩石地形上。为了提高姿态控制能力和穿越性能,一些odv和漫游者安装了主动悬架系统,通过主动悬架系统可以提高机器人的稳定性和机动性,从而实时优化机器人的身体姿态。本文设计了一种由独立主动悬架和被动摇杆式差动机构组成的集成主动悬架系统的全轮驱动、全轮转向ODV“Big Mars Rover”(BMR)。我们提出了基于爬坡和模拟退火算法的身体姿态优化方法。我们还建立了BMR的简化仿真模型,并进行了各种实验,验证了不同姿态优化方法的可行性。结果表明,我们的BMR在不平坦地形上具有良好的身体姿态调节能力,姿态控制策略可靠,为未来的硬件实验提供了有效的依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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