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On hybrid modeling and control of a multi-propeller multifunction aerial robot with flying-walking locomotion

机译:具有飞行行走运动的多螺旋桨多功能空中机器人的混合建模与控制

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摘要

Flying-walking locomotion is widely adopted by birds. It increases the agility and activities of birds, but has not been reported in the robotics research area. This paper is trying to address the problem of flying-walking locomotion with a multi-propeller multifunction aerial robot (MMAR). The dynamics of hybrid flying-walking locomotion is rather complex since it needs to consider the modeling of aerial robots contacting with the environment. By dividing the flying-walking locomotion into several motion modes, hybrid modeling framework is employed to model the dynamics of the overall flying-walking locomotion maneuver. Contact dynamics between the robot and the ground in the overall maneuver is derived from the constrained Lagrangian. Furthermore, the models of different modes are analyzed for the control purposes. Based on the dynamic model, an optimal planning algorithm is proposed to minimize the interaction between the legs and main-body of MMAR during the motion. Several composite controllers are designed to stabilize the motion of the main-body and the motion of the legs in different modes. Such controllers are designed using trajectory linearization control approach and computed-torque method. Simulation tests are presented to show the feasibility of proposed flying-walking locomotion.
机译:飞行行走运动被鸟类广泛采用。它提高了鸟类的敏捷性和活动能力,但尚未在机器人研究领域进行报道。本文试图解决多螺旋桨多功能空中机器人(MMAR)的飞行行走运动问题。混合飞行行走运动的动力学相当复杂,因为它需要考虑与环境接触的空中机器人的建模。通过将飞行步行运动划分为几种运动模式,采用了混合建模框架来对整个飞行步行运动的动力学进行建模。整体操纵中机器人与地面之间的接触动力学来自受约束的拉格朗日方程。此外,出于控制目的,分析了不同模式的模型。在动态模型的基础上,提出了一种优化规划算法,以最大程度地减小运动过程中腿与主体之间的相互作用。设计了多个复合控制器,以在不同模式下稳定主体的运动和腿部的运动。使用轨迹线性化控制方法和计算转矩方法设计此类控制器。进行了仿真测试,以表明拟议的飞行行走运动的可行性。

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