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High performance algorithm to obtain Johansson adaptive control in robot manipulators

机译:用于在机器人操纵器中获得Johansson自适应控制的高性能算法

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摘要

The dynamics equation of robot manipulators is nonlinear and coupled. An inverse dynamic control algorithm that requires a full knowledge of the dynamics of the system is one way to solve the control movement. Adaptive control is used to identify these unknown parameters. These algorithms are based on the linear relationship of inertial parameters in the dynamic equation. A formulation to generalize this relationship is applied to the Johansson adaptive algorithm. The objective of this paper is to present the optimizations to obtain the matrices of the Johansson adaptive algorithm using the Lagrange-Euler formulation and apply it to an on-line identification problem.
机译:机器人机械手的动力学方程是非线性的并且是耦合的。需要全面了解系统动力学的逆动态控制算法是解决控制运动的一种方法。自适应控制用于识别这些未知参数。这些算法基于动力学方程中惯性参数的线性关系。将概括这种关系的公式应用于Johansson自适应算法。本文的目的是提出优化方法,以使用Lagrange-Euler公式获得Johansson自适应算法的矩阵,并将其应用于在线识别问题。

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