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Study on Inverse Kinematics and Trajectory Tracking Control of Humanoid Robot Finger with Nonlinearly Coupled Joints

机译:具有非线性关节的类人机器人手指的逆运动学和轨迹跟踪控制研究

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It is a challenging problem to derive closed-form solution of inverse kinematics of the humanoid robot fingers with nonlinearly coupled joints. This paper presents a novel quasi-closed-form solution of inverse kinematics for such fingers. On the assumption that the angles of the two coupled joints are equal, an approximate closed-form solution of finger''s inverse kinematics is derived firstly. Utilizing the approximate solution as the ancillary variables, the problem of inverse kinematics is converted to determination of the joint angles from the approximate solution instead of the fingertip position. Based on the properties of the approximate solution, it is found that the approximate solution of the coupled joint plays the most important role in the joint angle derivation. In practical implementation, a 1D look-up table and the linear interpolation to the approximate solution of the coupled joint are used to compute the accurate joint angles named the quasi-closed-form solution. Simulation results show that the proposed method exhibits good accuracy, though its computational cost is slightly higher than that of the approximate solution. Furthermore, a trajectory tracking controller is developed, formed with a combination of feedforward, feedback and a saturation control. The controller does not require the explicit use of dynamic modeling parameters. Lyapunov based stability analysis indicates that the finger system with the proposed controller can be asymptotically stable. Experiments are finally performed to demonstrate the correctness of the proposed solution of inverse kinematics and the trajectory tracking control algorithm.
机译:得出具有非线性耦合关节的类人机器人手指逆运动学的闭合形式解是一个具有挑战性的问题。本文针对此类手指提出了一种新颖的准运动形式的逆运动学解。在两个耦合关节的角度相等的假设下,首先推导了手指逆运动学的近似闭合形式解。利用近似解作为辅助变量,逆运动学问题转化为根据近似解而不是指尖位置确定关节角度。根据近似解的性质,发现耦合关节的近似解在关节角推导中起着最重要的作用。在实际实现中,使用一维查找表和对耦合关节的近似解的线性插值来计算精确的关节角,称为准封闭形式的解。仿真结果表明,所提方法虽然计算量略高于近似解,但具有较高的精度。此外,还开发了一种轨迹跟踪控制器,由前馈,反馈和饱和度控制组合而成。控制器不需要显式使用动态建模参数。基于Lyapunov的稳定性分析表明,带有所提出控制器的手指系统可以渐近稳定。最后进行实验以证明所提出的逆运动学解决方案和轨迹跟踪控制算法的正确性。

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