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Trajectory Planning to Optimize Base Disturbance of 7-DOF Free-Floating Space Manipulator Based on QPSO

机译:基于QPSO的7自由度自由浮动空间机械臂基本扰动轨迹规划

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Because of the movement of space manipulator is in accordance with the law of conservation of momentum. All the motions will pose interference on the position and posture of the base. So the interference on the base generated by the motions of manipulator must be reduced. In this paper, the nonholonomic redundancy features of the free-floating space manipulator system are used. The position and posture of 7-DOF space manipulator are planned at the same time. Firstly, the kinematics equations of manipulator are established. Secondly, the angles of joints are parameterized by the sine polynomial function, and then objective function is designed according to the precision index of the position and posture. Finally, quantum-behaved particle swarm optimization (QPSO) is applied to optimize the base disturbance. The model of space manipulator system is set up, which is composed of a free- floating base and a 7-DOF manipulator. It can be seen from the experimental results, the proposed method could find the global optimal value quickly. Moreover, this method has less correlation parameters. And the planned joint path is smooth and it meets the ranges of angle of joints, angular velocity and angular acceleration. The theoretical analysis and simulation results show that the proposed method is feasible and suitable to optimize the base disturbance.
机译:由于空间的运动,机械手是按照动量守恒定律的。所有的运动都会对底座的位置和姿势造成干扰。因此,必须减少由机械手的运动产生的对基座的干扰。在本文中,使用了自由浮动空间机械手系统的非完整冗余特性。同时计划7自由度空间操纵器的位置和姿势。首先,建立了机械手的运动学方程。其次,通过正弦多项式函数对关节的角度进行参数化,然后根据位置和姿势的精度指标设计目标函数。最后,应用量子行为粒子群优化算法(QPSO)对基本扰动进行了优化。建立了由自由浮动基座和7自由度机械臂组成的空间机械臂系统模型。从实验结果可以看出,该方法可以快速找到全局最优值。而且,该方法具有较少的相关参数。所计划的关节路径是平滑的,并且满足关节角度,角速度和角加速度的范围。理论分析和仿真结果表明,该方法是可行的,适合于优化基础扰动。

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