Linear Quadratic optimal control for Puma Robotics

Lafta E. J. Alkurawy
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引用次数: 1

Abstract

Linear quadratic optimal control(LQOC) is a term to combine the control of optimal problems that including a linear of system with cost functional and input-state-output that is a form of quadratic of the input and state. The goal for this work is to given class of input functions by minimize this cost functional and to improve the stability for puma robotics. Puma Robotics has a complex movement with 6-degree of freedom and the challenging to assurance the stability with each of link of robotics to move without any mistake or issue. This work shows the stability of movement for Puma robotics with LQOC with MATLAB codes.
Puma机器人的线性二次最优控制
线性二次型最优控制(LQOC)是一个将最优问题的控制结合起来的术语,其中包括线性系统的成本函数和输入-状态-输出是一种输入和状态的二次形式。这项工作的目标是通过最小化成本函数来给定一类输入函数,并提高美洲豹机器人的稳定性。Puma机器人具有6个自由度的复杂运动,保证机器人每个环节的稳定性是一个挑战,没有任何错误或问题。本文用MATLAB代码演示了具有LQOC的Puma机器人的运动稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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