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冗余自由度机器人的运动学逆解
Inverse kinematics algorithm of redundant robot
【摘要】 导出了冗余度机器人基于优化力度的运动学逆解,并将优化力度函数用于冗余度机器人运动学优化控制.通过调整优化力度函数中自运动限制因子的取值,可以改变自运动速度在关节角速度中所占份额,实现人为地控制任务时间段内关节角速度的大小,使各关节角速度接近一致,实现二次优化.
【Abstract】 New analytic model for the inverse kinematics of redundant robot is developed based on an optimization measure. The optimization measure is defined as a criterion to determine the adaptability of optimization constraint, task constraint and geometric constraint each other and a smooth and continuous function of optimization measure is introduced. By adjusting the value of the selfmotion limited elements in optimization measure function, it can be realized to adjust the percentage which the selfmotion velocity accounts for joint angular velocity.
【关键词】 冗余度机器人;
逆运动学;
优化;
优化力度;
【Key words】 redundancy robot; inverse kinematics; optimization; optimization measure;
【Key words】 redundancy robot; inverse kinematics; optimization; optimization measure;
【基金】 山东省自然科学基金(Y2002F13);教育部留学回国基金(01345)
- 【文献出处】 山东大学学报(工学版) ,Journal of Shandong University of Technology , 编辑部邮箱 ,2003年03期
- 【分类号】TP242
- 【被引频次】14
- 【下载频次】725