首页> 外文期刊>IEEE transactions on automation science and engineering >Stability and Control of a Rider–Bicycle System: Analysis and Experiments
【24h】

Stability and Control of a Rider–Bicycle System: Analysis and Experiments

机译:骑自行车系统的稳定性和控制:分析与实验

获取原文
获取原文并翻译 | 示例

摘要

We present stability and control analysis of a rider-bicycle system under human steering and body movements. The dynamic model of rider-bicycle interactions is first constructed to integrate the rider's body movement with the moving bicycle platform. We then present human balance control strategies based on human riding experiments. The closed-loop system stability is analyzed and discussed. Quantitative influences of the bicycle physical parameters, the human control gains, and the time delays are also analyzed and discussed. Extensive experiments are conducted to validate the human control models and demonstrate human balance performance using the bikebot, an instrumented bicycle platform. The presented modeling and analysis results can be potentially used for further development of bicycle-assisted rehabilitation for postural balance patients. Note to Practitioners-Understanding human balance and control of bicycles is crucial for not only designing bicycle-based rehabilitation devices but also studying physical human-machine interactions for healthcare automation. This paper takes the rider and bicycle as an example of physical human-machine interactions to understand how human use their limbs and body movement to stabilize an unstable platform (i.e., bicycles). We develop an instrumented bicycle system, called bikebot, to conduct human riding experiments. Using experimental data, we build the dynamic models for human steering and leaning control actions. Using these actuation models, stability analyses are conducted for rider-bicycle interactions and then validated by experiments. We also obtain the stability results by perturbing human visual and sensorimotor feedback. These results reveal that the visual feedback and the time delay in sensorimotor feedback mechanism play critical roles in stabilizing the unstable bicycle platform.
机译:我们在人体转向和车身运动下的骑自行车系统稳定性和控制分析。首先构造骑车骑自行车相互作用的动态模型,以将骑车者的车身运动与移动的自行车平台集成在一起。然后,我们基于人骑行实验呈现人平衡控制策略。分析并讨论闭环系统稳定性。还分析并讨论了自行车物理参数,人控制增益和时间延迟的定量影响。进行了广泛的实验以验证人体控制模型,并使用Bikebot展示人类平衡性能,这是一个仪器的自行车平台。呈现的建模和分析结果可能用于进一步发展姿势平衡患者的自行车辅助康复。注意事项 - 理解人类平衡和自行车控制对于设计自行车的康复设备来说是至关重要的,而且对医疗自动化进行物理人机相互作用是至关重要的。本文将骑手和自行车作为物理人机相互作用的例子,以了解人类如何使用它们的四肢和身体运动来稳定一个不稳定的平台(即自行车)。我们开发了一个叫做Bikebot的仪器自行车系统,进行人类骑行实验。使用实验数据,我们构建人类转向和倾斜控制动态的动态模型。使用这些致动模型,进行稳定性分析,用于骑车自行车相互作用,然后通过实验验证。我们还通过扰乱人类视觉和传感器反馈来获得稳定性的结果。这些结果表明,传感器反馈机制的视觉反馈和时间延迟在稳定不稳定的自行车平台方面发挥着关键作用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号