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Generating optimal trajectory of humanoid arm that minimizes torque variation using differential dynamic programming

机译:使用差分动态编程生成人形手臂的最佳轨迹,从而使扭矩变化最小化

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This paper proposes an optimal control method to generate a minimum-torque change trajectory of humanoid arm by using a differential dynamic programming (DDP). Since DDP is a locally optimal feedback controller, the convergence is not guaranteed unless DDP starts with a good reference trajectory for high-dimensional nonlinear dynamical systems. The reference trajectory is generated by using the minimum-jerk trajectory method, and then the corresponding torque profile is obtained by using the computed-torque method. This reference trajectory is not optimal because it is solely based on the kinematics of the system. In the proposed method, the rate of torque change is used as control input in DDP to generate the optimal trajectory, which concurrently minimizes the torque variations and considers the dynamics of the system. The effectiveness of the proposed method is verified by computer simulations for generating the optimal trajectory of a 7 degrees-of-freedom (DOF) MyBot humanoid arm in Webots simulator.
机译:本文提出了一种通过使用差分动态编程(DDP)来产生人形臂的最小扭矩变化轨迹的最佳控制方法。由于DDP是局部最佳反馈控制器,除非DDP以高维非线性动力系统的良好参考轨迹开始,否则不会保证收敛。通过使用最小jerk轨迹方法生成参考轨迹,然后通过使用计算扭矩方法获得相应的扭矩轮廓。此参考轨迹不是最佳的,因为它仅基于系统的运动学。在该方法中,扭矩变化率用作DDP中的控制输入,以产生最佳轨迹,其同时最小化扭矩变化并考虑系统的动态。通过计算机模拟验证所提出的方法的有效性,用于在博彩模拟器中产生7度自由度(DOF)Mybot人形臂的最佳轨迹。

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