用变分积分提升路径积分控制，让机械臂更稳更快
VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems
- 用变分积分改进路径积分算法，延长规划时间不加算力
- 实测500-700赫兹运行，抗干扰能力强，控制更稳定
- 适合需要高精度、快速响应的欠驱动系统控制场景
本文提出VIMPPI，一种针对欠驱动双摆系统的新型控制方法，专为人工智能奥林匹克竞赛设计。通过将变分积分技术融入模型预测路径积分框架，该方法在不增加计算成本的前提下实现了更长的规划时域。系统以500-700 Hz频率运行，结合控制插值与扰动检测机制，显著优于基线方法及其它MPPI实现，在动态稳定性与响应速度上表现突出。
原文摘要 · Abstract (English)
This paper presents VIMPPI, a novel control approach for underactuated double pendulum systems developed for the AI Olympics competition. We enhance the Model Predictive Path Integral framework by incorporating variational integration techniques, enabling longer planning horizons without additional computational cost. Operating at 500-700 Hz with control interpolation and disturbance detection mechanisms, VIMPPI substantially outperforms both baseline methods and alternative MPPI implementations
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