基于Haar小波分解的轮式移动机器人轨迹跟踪控制

Trajectory Tracking Control of Wheeled Mobile Robot Based on Haar Wavelet Decomposition

  • 摘要: 利用Haar小波在满足机器人动力学约束的前提下,对期望轨迹进行曲线分解,得到所需的一系列参考点,并由这些参考点构造出虚拟小车的运动轨迹.基于控制Lyapunov函数设计了速度跟踪控制律,驱动机器人跟随虚拟小车实现对期望轨迹的跟踪.该方法的突出特点是可实现对任意复杂轨迹的跟踪控制,且不存在速度跳跃点.仿真实验结果表明它的有效性.

     

    Abstract: A method is presented to discompose the desired trajectory into a set of reference postures using Haar wavelet in terms of meeting the dynamic constraint. A virtual robot is set up according to the set of reference postures. Then a velocity-tracking control law based on control Lyapunov function to force the robot to follow the virtual robot. The evident advantages of the proposed method are that the desired trajectory can be any complex nonlinear curve and there is no speed-jumping phenomenon. The experimental results illustrate the effectiveness of the method.

     

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