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Finite-Time Lyapunov-based Second-Order Sliding Mode Control for a Parallel Robot for Automobile Electro-Coating Conveying

机译:基于有限时间李雅普诺夫的二阶滑模控制用于汽车涂装输送并行机器人

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To attain the high performance tracking control of a parallel robot for automobile electro-coating conveying, a finite-time Lyapunov-based second-order sliding mode control (SOSMC) is studied. By introducing a linear correction term into the traditional nonlinear supertwisting algorithm, an improved continuous SOSMC law is obtained, which is not only robust to the strong disturbance near the origin, but also available to suppress the linearly growing disturbance away from the origin. Furthermore, a fast terminal sliding variable in the form of a piecewise function is designed to avoid the singularity problem, and the finite time convergence of the tracking error is realized to improve the tracking performance. The finite time convergence of the sliding variable and its derivative is proved by Lyapunov theory, the convergence time and the explicit relationship of the controller parameters are provided in the paper. Finally, the validity of the proposed finite-time Lyapunov-based SOSMC is verified by simulation and experiment on the prototype system of the parallel robot.
机译:为了获得用于汽车电涂输送的并行机器人的高性能跟踪控制,研究了基于Lyapunov的有限时间二阶滑模控制(SOSMC)。通过将线性校正项引入到传统的非线性超扭曲算法中,得到了一种改进的连续SOSMC定律,不仅对原点附近的强干扰具有鲁棒性,而且还可以抑制远离原点的线性增长的干扰。此外,设计了一种分段函数形式的快速终端滑动变量,避免了奇异性问题,实现了跟踪误差的有限时间收敛,提高了跟踪性能。利用Lyapunov理论证明了滑动变量及其导数的有限时间收敛性,给出了收敛时间和控制器参数的显式关系。最后,通过对并行机器人原型系统的仿真和实验,验证了所提出的基于Lyapunov的有限时间SOSMC的有效性。

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