具有外部不确定性的机器人腿变阻抗控制

C. Vo, Xuan Dinh To, K. Ahn
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引用次数: 1

摘要

针对具有外部不确定性的主动机器人腿的地面反力控制问题,提出了一种自适应变阻抗控制器组合。采用自适应控制方案处理动态参数在任何环境下的刚度不确定性,并采用鲁棒控制方案使跟踪误差的收敛对GRF的差异具有鲁棒性。边界面不仅可以获得最优的阻抗参数,而且可以获得边界控制增益,从而在两个相互冲突的轨迹跟踪目标之间进行折衷。进一步证明了被控系统的稳定性和收敛性,以实现稳定的力跟踪执行。最后,仿真结果表明该控制器具有良好的关节运动稳态跟踪性能和合理的控制,验证了该控制器在不同挑战性模型参数下的有效性。
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Variable Impedance Control for a Robotic Leg with External Uncertainties
This paper presents an adaptive variable impedance controller combinations for ground reaction force (GRF) control of an active robotic leg with external uncertainties. An adaptive control scheme is used to handle the parameters of the dynamic in any environment stiffness uncertainties, and a robust control scheme so the convergence of tracking errors was flaunted robustness to differences of GRF. The boundary surface not only obtains optimal impedance parameters but also bounds control gains to compromise between the two conflicting objectives of trajectory tracking. Furthermore, stability and convergence characteristic of the controlled system is demonstrated for a stable force tracking execution. Finally, simulation results are shown the high steady-state tracking performance of joint movements and reasonable control to verify the efficacy of the controller for different challenging model parameters.
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