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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-DOF自由浮动空间机械手优化轨迹规划

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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:由于空间操纵器的运动符合动量守恒的规律。所有动作都会对基地的位置和姿势产生干扰。因此,必须减少由操纵器的运动产生的基础的干扰。在本文中,使用了自由浮动空间机械系统的非完整冗余特征。 7-DOF空间机械手的位置和姿势同时计划。首先,建立了操纵器的运动学方程。其次,关节的角度由正弦多项式函数参数化,然后根据位置和姿势的精度指数设计目标函数。最后,应用量子表现粒子群优化(QPSO)以优化基础干扰。设置了空间机械手系统的模型,由自由浮底座和7-DOF操纵器组成。从实验结果可以看出,所提出的方法可以快速找到全球最佳值。此外,该方法具有较少的相关参数。策划的关节路径光滑,它符合关节角度,角速度和角度加速的范围。理论分析和仿真结果表明,该方法是可行的,适合优化基础扰动。

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