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The automation of multi degree of freedom hydraulic crane by using Virtual Decomposition Control

机译:使用虚拟分解控制自由度自由度自由度自由度自由度

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In this paper heavy-duty hydraulic crane automation is addressed by applying the Virtual Decomposition Control (VDC) approach. The VDC approach allows the control problem of the entire system to be converted into the control problem of individual components, i.e. subsystems while rigorously guaranteeing the stability of the entire system without jeopardizing the control performance. The experimental results demonstrate that the VDC approach is applicable to robust and high performance control of low-cost hydraulic multi Degree of Freedom (DOF) applications, in which the controller is challenged by a significant number of different nonlinearities and parameter uncertainties. When a VDC controller was compared with a conventional PID controller, approximately 7 times lower piston position maximum error was achieved. Moreover, a VDC controller was given roughly the same control accuracy with low, medium and high velocity trajectory references without any additional tuning, whereas the performance of the PID controller significantly changed between different velocity trajectories. The achieved results with the VDC controller are comparable with the reported state-of-the-art studies on nonlinear model-based control of hydraulic multi DOF applications.
机译:在本文中,通过应用虚拟分解控制(VDC)方法来解决重型液压起重机自动化。 VDC方法允许整个系统的控制问题转换为各个组件的控制问题,即子系统,同时严格保证整个系统的稳定性而不危及控制性能。实验结果表明,VDC方法适用于对低成本液压多程度自由(DOF)应用的稳健和高性能控制,其中控制器受到大量不同非线性和参数不确定性的挑战。当与传统PID控制器进行比较VDC控制器时,实现了大约7倍的活塞位置最大误差。此外,VDC控制器具有大致相同的控制精度,其具有低,中等和高速轨迹参考,而没有任何额外调谐,而PID控制器的性能在不同的速度轨迹之间显着变化。随着VDC控制器的实现结果与报告的液压多DOF应用的基于非线性模型控制的据报道的最新研究相当。

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