机械手的模糊逆模型鲁棒控制

提出一种基于模糊聚类和滑动模控制的模糊逆模型控制方法,并将其应用于动力学 方程未知的机械手轨迹控制.首先,采用C均值聚类算法构造两关节机械手的高木-关野 (T-S)模糊模型,并由此构造模糊系统的逆模型.然后,在提出的模糊逆模型控制结构中, 离散时间滑动模控制和时延控制(TDC)用于补偿模糊建模误差和外扰动,保证系统的全局 稳定性并改进其动态和稳态性能.系统的稳定性和轨迹误差的收敛性可以通过稳定性定理来 证明.最后,以两关节机械手的轨迹跟随控制为例,揭示了该设计方法的控制性能.

Robust Control of Robotic Manipulators Using Fuzzy Inverse Model

In this paper, a novel fuzzy inverse model control using fuzzy clustering and sliding mode control (SMC) is proposed for the trajectory tracking of robotic manipulators having unknown dynamics. The fuzzy model of a two-link manipulator is built based on the derivation of TS models'using fuzzy C-means clustering algorithm and the robot fuzzy inverse model is obtained. Then, in the proposed control framework of fuzzy inverse model, sliding mode control and the time-delay control approach are used to compensate for the fuzzy modeling errors and disturbances, thus the system stability is guaranteed and its tracking performance is improved. The system stability and con-vergence of tracking errors are proven by stability theory. Finally, an example for the trajectory tracking of a two-link manipulator illustrates the performance improvement of the proposed control approach.