A Gravity Compensation Algorithm of Robot Manipulator Control based on the Trigonometric Function

Yan Wang, Xue Chen
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Abstract

The conventional gravity compensation algorithm requires precise dynamic parameters and a complex matrix transformation operation, which is difficult in applications to real-time control. In this paper, a simple and practical gravity compensation algorithm is proposed based on the space geometry characteristics of a mechanical arm and the principle of torque balance. This algorithm does not require a complex calculation of space coordinate transformation and does not require obtaining all accurate dynamic models and parameters. It only requires estimating the maximum gravity moment of the mechanical arm and simply calculating the trigonometric function. Thus, this algorithm can be extended to a non-parallel shaft mechanical arm, which is suitable for N joints in space. To verify the control effect after gravity compensation, the most easily comprehensible proportional-derivative controller combined with gravity compensation is used to control two-joint and three-joint mechanical arms for simulation. With the gravity compensation and non-compensation of the mechanical arm and with a comparison with other compensation methods, such as the fixed gravity compensation algorithm, the results show that the gravity compensation algorithm can achieve better trajectory tracking control, higher steady-state precision, an effectively reduced work burden of the controller and improved system stability.
基于三角函数的机器人机械手重力补偿控制算法
传统的重力补偿算法需要精确的动态参数和复杂的矩阵变换运算,难以实现实时控制。基于机械臂的空间几何特性和力矩平衡原理,提出了一种简单实用的重力补偿算法。该算法不需要进行复杂的空间坐标变换计算,也不需要获得所有精确的动态模型和参数。它只需要估计机械臂的最大重力力矩,并简单地计算三角函数。因此,该算法可以推广到非平行轴机械臂,该机械臂适用于空间中的N个关节。为了验证重力补偿后的控制效果,采用最容易理解的比例导数控制器结合重力补偿对两关节和三关节机械臂进行了控制仿真。通过对机械臂的重力补偿和无补偿,并与固定重力补偿算法等其他补偿方法进行比较,结果表明,重力补偿算法可以实现更好的轨迹跟踪控制,具有较高的稳态精度,有效减轻了控制器的工作负担,提高了系统的稳定性。
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