期刊论文详细信息
International Journal of Advanced Robotic Systems
Closed Loop Optimal Control of a Stewart Platform Using an Optimal Feedback Linearization Method
Mahdi Yousefzadeh1  Hami Tourajizadeh1  Ali Tajik1 
关键词: Stewart Robot;    Optimal Control;    Feedback Linearization;    LQR;    Sequential Control Method;    Jack Dynamics;   
DOI  :  10.5772/63546
学科分类:自动化工程
来源: InTech
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【 摘 要 】

Optimal control of a Stewart robot is performed in this paper using a sequential optimal feedback linearization method considering the jack dynamics. One of the most important applications of a Stewart platform is tracking a machine along a specific path or from a defined point to another point. However, the control procedure of these robots is more challenging than that of serial robots since their dynamics are extremely complicated and non-linear. In addition, saving energy, together with achieving the desired accuracy, is one of the most desirable objectives. In this paper, a proper non-linear optimal control is employed to gain the maximum accuracy by applying the minimum force distribution to the jacks. Dynamics of the jacks are included in this paper to achieve more accurate results. Optimal control is performed for a six-DOF hexapod robot and its accuracy is increased using a sequential feedback linearization method, while its energy optimization is realized using the LQR method for the linearized ...

【 授权许可】

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