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Feedback Control—Based Inverse Kinematics Solvers for a Nuclear Decommissioning Robot

机译:基于反馈控制的核退役机器人逆运动学求解器

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Abstract: The article develops two novel feedback control-based Inverse Kinematics (IK) solvers. They are evaluated for a dual-manipulator mobile robotic system with application to nuclear decommissioning. The first algorithm has similarities to other feedback control based solvers, and borrows ideas from the Cyclic Coordinate Decent and the Jacobian Transpose methods. This yields a particularly straightforward algorithm with tunable Proportional-Integral-Derivative (PID) gains to determine performance. The second approach utilises a discrete-time state space modelling framework to solve the IK problem. Although the second solver is more complex to implement, preliminary simulation results for the case study example, show that it can converge quicker, and has improved immunity to the kinematic singularities that can occur in Jacobian based methods.
机译:摘要:本文开发了两种新颖的基于反馈控制的逆运动学(IK)求解器。他们对双操纵器移动机器人系统进行了评估,并将其应用于核退役。第一种算法与其他基于反馈控制的求解器具有相似性,并借鉴了循环坐标体面法和雅可比移调法的思想。这产生了一种特别简单的算法,该算法具有可调的比例积分微分(PID)增益来确定性能。第二种方法利用离散时间状态空间建模框架来解决IK问题。尽管第二个求解器的实现更为复杂,但案例研究示例的初步仿真结果表明,它可以收敛得更快,并且可以提高对基于Jacobian方法的运动奇异性的抵抗力。

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