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Adaptive Nonlinear Crane Control With Load Hoisting/Lowering and Unknown Parameters: Design and Experiments

机译:带有未知参数的起升/降落的自适应非线性起重机控制:设计与实验

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摘要

For practical underactuated cranes, vertical load motion is always involved, which, owing to the internal nonlinear coupling, may trigger larger amplitude load oscillations, making the control problem much more cumbersome and challenging than the constant-rope-length case. Moreover, cranes always suffer from unknown or uncertain plant parameters such as load mass and friction parameters besides the underactuated nature, which makes accurate gravity compensation in the case of load vertical hoisting/lowering impossible and induces vertical positioning errors. To address these problems, a new adaptive coupling control approach is presented for underactuated cranes with load hoisting/lowering subject to unknown plant parameters, which achieves fast precise trolley positioning and load hoisting/lowering as well as rapid load swing elimination. We construct a new adaptive mechanism to deal with the system uncertainties, which can accurately identify the unknown load weight. As far as we know, the presented strategy yields the control solution, , to successfully address the crane antiswing and positioning problem , with simultaneous load weight identification as an additional benefit. The performance of the designed control system is theoretically ensured by Lyapunov-like analysis and (extended) Barbalat's lemmas. Experimental and simulation results suggest the effectiveness and superior performance of the proposed method for crane control by comparing it with existing methods.
机译:对于实际的欠驱动起重机,总是涉及垂直载荷运动,由于内部非线性耦合,可能会引起较大的振幅载荷振荡,从而使控制问题比恒定绳长的情况更为繁琐和具有挑战性。此外,起重机除了欠驱动特性外,还总是遭受未知或不确定的工厂参数(例如负载质量和摩擦参数)的影响,这使得在垂直提升/降低负载的情况下无法进行精确的重力补偿,并且会引起垂直定位误差。为了解决这些问题,提出了一种新的自适应耦合控制方法,该方法适用于负荷未知的工厂参数下进行负载提升/下降的欠驱动起重机,可实现快速精确的小车定位和负载提升/下降以及快速消除负载摆动。我们构建了一种新的自适应机制来应对系统的不确定性,可以准确地识别未知负载权重。据我们所知,所提出的策略产生了控制解决方案,以成功解决起重机的防摆和定位问题,同时进行负载重量识别是另一个好处。理论上,通过类似Lyapunov的分析和(扩展的)Barbalat引理,可以确保设计的控制系统的性能。实验和仿真结果通过与现有方法进行比较,表明了所提出的起重机控制方法的有效性和优越性能。

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