首页> 外文期刊>IEEE Robotics and Automation Letters >Whole-Body Motion Tracking for a Quadruped-on-Wheel Robot via a Compact-Form Controller With Improved Prioritized Optimization
【24h】

Whole-Body Motion Tracking for a Quadruped-on-Wheel Robot via a Compact-Form Controller With Improved Prioritized Optimization

机译:通过紧凑型控制器的全身运动跟踪,通过紧凑型控制器,具有改进的优先级优化

获取原文
获取原文并翻译 | 示例

摘要

This letter develops a more general dynamics controller to generate whole-body behaviors for a quadruped-on-wheel robot. To track the quadruped centroidal motion, the wheeled motion is achieved by combining the wheel contact constraints and the centroidal momentum/dynamics model. The dynamics controller is based on a new hybrid hierarchical and prioritized weighted optimization framework. We propose one concept of a recursively updated dynamics model and this model enables to integrate the new prioritized weighted scheme in the hierarchical framework. In contrast with the conventional weighted scheme, we propose to use null-space projections among its sub-tasks. Then the prioritized impedance controller is proposed and integrated in our dynamics model, which enables to influence the hierarchical and prioritized weighted tasks in a decoupled way. The task accelerations in the two schemes are extracted with quadratic forms depending on the actuated torque and the prioritized impedance force using null-space based inverse dynamics. The inequality constraints are modified to ensure the compatibility with the hybrid convex optimization. This dynamics controller is more general and its algorithm is given completely which enables our robot to track the centroidal motion on rough terrain and handle other missions in three simulation scenarios.
机译:这封信开发了一个更通用的动态控制器,为四轮车机器人产生全身行为。为了跟踪四叉状的质心运动,通过组合车轮接触约束和质心动量/动力学模型来实现轮式运动。动态控制器基于新的混合分层和优先加权优化框架。我们提出了一个递归更新的动态模型的一个概念,并且该模型可以在分层框架中集成新的优先权加权方案。与传统的加权方案相比,我们建议在其子任务中使用空空间投影。然后提出了优先阻抗控制器并集成在我们的动态模型中,这使得能够以分离方式影响分层和优先的加权任务。两种方案中的任务加速度以二次形式提取,根据使用基于空空间的逆动力学的致动扭矩和优先的阻抗力来提取。修改不等式约束,以确保与混合凸优化的兼容性。该动力量控制器更通用,其算法完全得到,使我们的机器人能够跟踪粗糙地形上的质心动作,并在三种模拟场景中处理其他任务。

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