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Time Delay Estimation Based PD Sliding Mode Control of Hybrid Robot for Automobile Electro-Coating Conveying

机译:基于时间延迟估计的汽车电涂输送混合机器人PD滑动模式控制

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摘要

A time delay estimation-based PD-sliding mode control method is proposed to implement high performance trajectory tracking control for a hybrid robot used for automobile electro-coating conveying. First, to exempt the difficulty of real-time dynamic control from calculations of hybrid robot dynamics equations due to its complex mechanism, the time delay estimation-based dynamic model is established by linearizing the dynamic model with time delay estimation technology. Then, a sliding mode control method for the hybrid robot based on time delay estimation-based linearized dynamic model is presented for solving the problem of time delay estimation errors and overcoming the external interferences dramatically. Moreover, the calculation on system dynamics of sliding mode control for the hybrid robot is avoided by substituting the PD control item for the equivalent item of sliding mode control. Lyapunov stability theorem is used to prove the stability of the proposed control law. Finally, the PD control and the proposed control method for the hybrid robot are simulated by MATLAB, and the experiment is carried out on the prototype. The results demonstrate that the proposed control method is independent of complex dynamic model which could avoid the calculation on system dynamics of sliding mode control for the hybrid robot, and it could realize high-accuracy trajectory tracking control compared to PD control under external disturbances.
机译:提出了一种基于时间延迟估计的PD滑动模式控制方法,以实现用于用于汽车电涂输出的混合机器人的高性能轨迹跟踪控制。首先,为了豁免由于其复杂机制而从混合机器人动力学方程计算的实时动态控制的难度,通过用时间延迟估计技术线性化动态模型来建立时间延迟估计的动态模型。然后,介绍了一种基于时间延迟估计的线性化动态模型的混合机器人的滑模控制方法,用于解决时间延迟估计误差的问题并克服外部干扰。此外,通过代替PD控制项来避免对混合机器人的滑模控制的系统动态的计算,以使PD控制项目用于等效的滑模控制。 Lyapunov稳定性定理用于证明拟议的控制法的稳定性。最后,通过MATLAB模拟了PD控制和用于混合机器人的所提出的控制方法,并在原型上进行实验。结果表明,所提出的控制方法与复杂的动态模型无关,可以避免对混合机器人的滑模控制的系统动态计算的计算,并且它可以实现高精度轨迹跟踪控制与外部干扰下的PD控制相比。

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