双臂空间机器人关节空间的补偿学习控制

GA BASED COMPENSATING LEARNING CONTROL FOR FREE-FLOATING SPACE ROBOT SYSTEM WITH DUAL-ARMS IN JOINTS SPACE

  • 摘要: 在载体位置与姿态均不受控制情况下,结合动量(矩)守恒关系对系统进行了运动学、动力学的分析,得到了漂浮基双臂空间机器人的系统动力学方程. 采用PD控制的计算力矩法,得到了系统的闭环动态误差方程,在此基础上设计了针对不确定性的自由漂浮空间机器人的控制方案,提出了一种基于遗传算法的补偿学习控制方法. 将补偿学习控制与计算力矩法相结合,利用遗传算法的进化学习消除不确定因素的影响,实现机器人轨迹跟踪的良好控制.

     

    Abstract: In this paper, the kinematics and dynamics of thefree-floating space robot system with dual-arms are analyzed. Theclosed-loop dynamic error equation considering uncertainties for such systemis derived by using the PD type computed torque method. A new learningcontrol method using real coded genetic algorithm (GA) is used tocontrol the system with its controller structure designed. A compensatinglearning control term is added to the error equation to deal with theuncertainties by evolutionary learning. Then, the computed torque method andthe GA learning control are combined to realize the perfect trajectorytracking. Simulation results show the efficiency of the control method.

     

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