为基于串行机械手的运动模拟器实现经典运动提示算法:Larrmos 案例研究

Pub Date : 2024-07-18 DOI:10.2478/lpts-2024-0024
A. Stupāns, P. Maksimkins, A. Senfelds, L. Ribickis
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引用次数: 0

摘要

本研究的重点是开发和评估大范围机器人运动模拟器(LaRRMoS)的运动控制系统,该模拟器基于具有 6 个自由度的串行机械手。该系统基于具有 6 个自由度的串行机械手,采用了两种运动提示算法(MCA)--经典冲洗滤波器(CWF)和带圆柱坐标的经典冲洗滤波器(CYL)--并对模拟保真度和 LaRRMoS 工作空间利用率进行了测试。CWF 和 CYL 运动提示性能在两个使用案例中进行了评估:汽车模拟和雪橇运动模拟。汽车案例是典型的驾驶模拟器应用。选择雪橇运动案例是因为它的高动态性可以评估机器人和运动提示的极限。虽然本研究使用了一组预先录制的运动数据,并在非交互模式下运行模拟,但其目标是在未来为 LaRRMoS 进行实时交互模拟,因此只检查了能够实时运行的 MCA。已进行的测试表明,CYL 算法在高动态运动复制(尤其是横向加速度)方面性能优越。
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Implementation of Classical Motion Cueing Algorithms for Serial Manipulator Based Motion Simulator: Larrmos Case Study
The study focuses on the development and evaluation of a motion control system for the Large Range Robotic Motion Simulator (LaRRMoS), which is based on a serial manipulator with 6 degrees-of-freedom. Two motion cueing algorithms (MCAs) – Classical Washout Filter (CWF) and Classical Washout Filter with Cylindrical coordinates (CYL) – are implemented and tested for simulation fidelity and LaRRMoS workspace utilization. CWF and CYL motion cueing performance gets assessed in two use cases: car simulation and luge sports simulation. The car case is a typical driving simulator application. The luge sports case is chosen for its high dynamics to assess the limits of the robot and motion cueing. Though this study uses a pre-recorded set of motion data and runs simulations in non-interactive mode, it aims for real-time interactive simulation for LaRRMoS in the future, so only MCAs capable of real-time operation are inspected. Conducted tests show that the CYL algorithm provides superior performance in highly dynamic motion replication, particularly in lateral accelerations.
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