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摘要: 针对约束环境中的多指手操作系统,在考虑其动态模型的不确定性以及存在外界干扰的情况下,提出了一种鲁棒操作算法.对于模型的不确定性,该算法能够保证物体的位置误差、速度误差以及与环境之间的作用力误差具有全局指数收敛的特性.在存在外界干扰的情况下,系统满足给定的干扰抑制性能指标.同时,通过对多指手操作系统的内力进行鲁棒优化,进一步增强了系统的鲁棒干扰抑制性能.Abstract: A robust manipulation algorithm is proposed for multi-fingered hand in a constrained environment when uncertainties in the dynamic models and external disturbances are considered. The algorithm can guarantee the position tracking error, both velocity error and the force error between object and environment have the property of globally exponential convergence when the parametric uncertainties are considered. If the system is subject to external disturbances, it satisfies a given performance criterion of disturbance rejection. Furthermore, the robustness of the system rejecting external disturbance is improved by the robust optimization algorithm for the internal forces.
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Key words:
- Multi-fingered hand /
- manipulation /
- uncertainty /
- disturbance rejection
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