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Efficient computation of system-specific motion commands for serial and parallel robots based on differential flatness

机译:基于微分平坦度的串行和并行机器人的系统特定运动命令的高效计算

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This paper presents a universal method to reduce vibration and contouring errors of complex, nonlinear robotic systems during dynamic motions. The proposed method is based on differential flatness and is valid for serial and parallel robots. System-specific trajectories for motor position, velocity, and torque are generated online with minimized computational effort. Hereby, compliance and friction of the drive trains as well as automatically generated dynamics models are considered. Furthermore, a discrete approach is given to consider damping. The generated motion commands significantly relief the feedback control loop and, therewith, improve the overall system's motion behavior. To ensure time optimality, the trajectories are based on trapezoidal motion profiles, exploiting given constraints for velocity, acceleration, and jerk. The performance of the method as well as its sensitivity with respect to the quality of model parameters is studied and verified using an exemplary 3RRR parallel manipulator. It is shown, that the proposed method is able to outperform conventional computed torque control.
机译:本文呈现了一种普遍的方法,可在动态运动期间减少复杂的非线性机器人系统的振动和轮廓误差。所提出的方法基于差分平整度,并且对串行和并行机器人有效。用于电机位置,速度和扭矩的系统特定轨迹在线生成,最小化的计算工作。由此,考虑了驱动列车的合规性和摩擦以及自动生成的动态模型。此外,给出了离散方法来考虑阻尼。生成的运动命令显着地缓解反馈控制回路,从而提高了整体系统的运动行为。为了确保最优状态,轨迹基于梯形运动型材,利用速度,加速和混蛋的给定约束。研究了方法的性能以及对模型参数质量的灵敏度,并使用示例性的3RR并行机械手验证。示出了,所提出的方法能够优于传统的计算扭矩控制。

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