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Balancing and Velocity Control of a Unicycle Robot Based on the Dynamic Model

机译:基于动态模型的单轮机器人平衡速度控制

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摘要

This paper presents a dynamic-model-based control scheme for the balancing and velocity control of a unicycle robot. Unicycle robot motion consists of a pitch that is controlled by an in-wheel motor and a roll that is controlled by a reaction wheel pendulum. The unicycle robot lacks an actuator for yaw-axis control, which makes the derivation of the dynamics relatively simple although it may limit the motion control. The Euler–Lagrange equation is applied to derive the dynamic equations of the unicycle robot to implement dynamic speed control. To achieve real-time speed control, a sliding-mode control and a nonzero set-point linear quadratic regulator (LQR) are utilized to guarantee stability while maintaining the desired speed-tracking performance. In the roll controller, a sigmoid-function-based sliding-mode controller has been adopted to minimize switching-function chattering. An LQR controller has been implemented for pitch control to drive the unicycle robot to follow the desired velocity trajectory in real time using the state variables of pitch angle, angular velocity, wheel angle, and angular velocity. The control performance of the two control systems using a single dynamic model has been experimentally demonstrated.
机译:本文提出了一种基于动态模型的单轮机器人平衡和速度控制方案。单轮机器人的运动包括一个由轮内电机控制的俯仰和一个由反作用轮摆控制的侧倾。单轮机器人缺少用于偏航轴控制的执行器,尽管可能会限制运动控制,但使动力学的推导相对简单。欧拉-拉格朗日方程用于推导单轮机器人的动力学方程,以实现动态速度控制。为了实现实时速度控制,利用滑模控制和非零设定点线性二次调节器(LQR)来保证稳定性,同时保持所需的速度跟踪性能。在侧倾控制器中,已经采用了基于S形函数的滑模控制器,以最大程度地减少开关功能的颤动。已使用LQR控制器进行俯仰控制,以使用俯仰角,角速度,车轮角和角速度的状态变量驱动单轮机器人实时跟踪所需的速度轨迹。实验证明了使用单个动态模型的两个控制系统的控制性能。

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