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An optimization method for inverse kinematics of a 7-DOF redundant manipulator

机译:7自由度冗余机械臂逆运动学的优化方法

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Based on the D-H model of a normal 7-DOF redundant manipulator, a novel two-phase calculation optimization approach is proposed in this paper by combining the fixed joint-angle method with the weighted least-norm(WLN) solution. In the new approach, the original advantage of avoiding the joint limit to get the optimized solutions in WLN is saved and the new advantage of improving the accuracy of inverse kinematics solution is developed. Moreover, one open problem in this field that Jacobi pseudo-inverse does not exist in some special situations can be solved properly based on the iteration algorithm. Simulation results clearly show that the proposed approach can achieve better tracking accuracy of desired trajectories and solve the open problem mentioned above.
机译:基于常规7自由度机械臂的D-H模型,结合固定关节角法和加权最小范数(WLN)解,提出了一种新颖的两阶段计算优化方法。在新方法中,保留了避免关节极限以得到WLN最优解的原始优势,并开发了提高逆运动学解决方案精度的新优势。此外,基于迭代算法,可以适当地解决该领域存在的一个开放问题,即在某些特殊情况下不存在Jacobi伪逆。仿真结果清楚地表明,所提出的方法可以实现对期望轨迹的更好的跟踪精度,并解决了上述开放性问题。

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