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High accuracy contouring control of an excavator for surface flattening tasks based on extended state observer and task coordinate frame approach

机译:基于扩展状态观察者和任务坐标框架方法的表面扁平任务的高精度轮廓控制

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摘要

In construction, motion control is primary for excavators to complete earth-moving tasks. However, the position tracking performance is strongly affected by system nonlinearity, external disturbances, and model uncertainties during operation. In this paper, a task coordinate frame approach is firstly adopted for an excavator to separate the tracking error into contouring error, tangential error, and orientation error. Based on this transformation, each error component is treated independently according to their priorities. Furthermore, an extended state observer is designed to cope with not only unmeasurable velocities but also lumped disturbances and uncertainties. Finally, these advanced techniques are integrated into the proposed controller by using the backstepping control with the barrier Lyapunov function which is developed to achieve a prescribed performance of the contouring error. The proposed control algorithm guarantees system stability and provides high accuracy contouring performance and acceptable tangential and orientation performances regardless of the presence of lumped disturbances/uncertainties and nonlinearities in the system. Simulation results verify the control effectiveness of the proposed control algorithm in surface flattening tasks compared to previous works. Practitioners can apply the results of the research to not only semi-autonomous operations with unskilled operators but also fully autonomous operations. Future research is necessary to consider the contouring control of excavators with other earth-moving tasks and relating problems in real operating conditions.
机译:在施工中,运动控制主要用于挖掘机完成地球移动任务。然而,位置跟踪性能受到系统非线性,外部干扰和操作期间的模型不确定性的强烈影响。在本文中,首先采用任务坐标帧方法来挖掘机将跟踪误差分离成轮廓误差,切向误差和方向误差。基于该转换,每个错误组件根据其优先级独立处理。此外,延长的状态观察器设计用于应对不可测量的速度,而且还用于应对漏斗和不确定性。最后,通过使用屏障Lyapunov功能的BackStepping控制来集成到所提出的控制器中,这些技术被开发为实现轮廓化误差的规定性能。所提出的控制算法保证了系统稳定性,提供了高精度的轮廓性能和可接受的切向和取向性能,而不管系统中的丢失的扰动/不确定性和非线性。仿真结果验证了与以前的作品相比,验证了所提出的控制算法的控制效能。从业者可以将研究结果应用于与非熟练运营商的半自主行动应用,而且完全自主行动。未来的研究是需要考虑挖掘机的轮廓控制与其他地球移动任务,并在实际操作条件下有关问题。

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