基于力传感器的间接紧密协调任务平衡恢复控制方法

Mantian Li, Ran Guo, F. Zha, Fei Chen, Jian Huang
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引用次数: 2

摘要

针对间接紧密协调任务(ITCT)中活动目标受干扰而不稳定的问题,提出了一套控制方法。通过这些方法可以控制可移动物体返回到初始位置,并保持动态平衡。这些方法基于两个六轴力/扭矩传感器,有助于确定可移动物体的位置和速度信息。利用这些信息,由平衡恢复控制器生成手臂的运动轨迹,间接控制可移动物体的加速度。通过合理规划加速度,可移动物体最终可以回到初始位置并保持动平衡。最后,通过仿真验证了该算法的有效性和可行性。
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Control Method for The Balance Recovery of Indirect Tight Coordination Task Based on Force Sensor
In view of the problem of instability of movable objects due to disturbances in indirect tight coordination tasks (ITCT), a set of control methods were proposed. The movable objects can be controlled to return to initial position and maintain dynamic balance with these methods. These methods are based on two six-axis force/torque sensors, which are helpful to determine the position and velocity information of the movable object. With these information, the trajectory of the arms would be generated by the balance recovery controller to indirectly control the acceleration of the movable objects. By planning the acceleration reasonably, the movable objects can eventually return to initial position and keep dynamic balance. Finally, the validity and feasibility of this algorithm are verified by simulation.
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