漂浮基双臂空间机器人基于自适应遗传算法的最优非完整运动规划

讨论了漂浮基双臂空间机器人非完整运动的最优控制规划问题。以多体动力学理论为基础,导出了载体位置、姿态均不受控制情况下,双臂空间机器人耦合了系统动量守恒关系的系统动量矩守恒关系,并将其转化为控制系统状态方程。由此,将双臂空间机器人的非完整运动规划问题转化为非线性系统的控制问题。以此为基础,利用近似优化的方法,给出了双臂空间机器人基于自适应遗传算法的最优非完整运动规划控制算法。其优点在于,仅需要控制双臂空间机器人机械臂的关节运动,即可达到对载体姿态及机械臂关节位置的双重控制效果。一个平面双臂空间机器人系统的数值仿真,验证了算法的有效性。

OPTIMAL NONHOLONOMIC MOTION PLANNING OF SPACE ROBOT SYSTEM WITH DUAL-ARMS USING ADAPTIVE GENETIC ALGoRITHM

The optimal nonholonomic motion planning of free-floating space robot system with dual-arms is discussed. Base on the linear and angular momentum conservations of the system, the system state equations for control design are established, so the nonholonomic motion planning objective of attitude control of space robot system is translated as the solution for a canonical nonlinear control problem. The proposed optimal control scheme of the system is studied, and an adaptive genetic algorithm for computing approximate optimal control of the system is developed. The proposed optimal motion planning approach possesses the advantages which can obtain the desired angles of the base’s attitude and arms’ joints only by controlling the arms’ joints motion. A planar free-floating space robot system with dual-arms is simulated to verify the proposed approach.