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Adaptive tracking control for double-pendulum overhead cranes subject to tracking error limitation, parametric uncertainties and external disturbances

机译:双摆臂桥式起重机的自适应跟踪控制受跟踪误差限制,参数不确定性和外部干扰的影响

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摘要

In a practical application, overhead cranes are usually subjected to system parameter uncertainties, such as uncertain payload masses, cable lengths, frictions, and external disturbances, such as air resistance. Most existing crane control methods treat the payload swing as that of a single-pendulum. However, certain types of payloads and hoisting mechanisms result in double-pendulum dynamics. The double-pendulum effects will make most existing crane control methods fail to work normally. Therefore, an adaptive tracking controller for double-pendulum overhead cranes subject to parametric uncertainties and external disturbances is developed in this paper. The proposed adaptive tracking control method guarantees that the trolley tracking error is always within a prior set of boundary conditions and converges to zero rapidly. The asymptotic stability of the closed-loop system's equilibrium point is assured by Lyapunov techniques and Barbalat's Lemma. Simulation results show that the proposed adaptive tracking control method is robust with respect to system parametric uncertainties and external disturbances.
机译:在实际应用中,桥式起重机通常会受到系统参数不确定性的影响,例如不确定的有效载荷质量,电缆长度,摩擦力以及外部干扰(例如空气阻力)。现有的大多数起重机控制方法都将有效载荷摆动视为单个摆的摆动。但是,某些类型的有效负载和提升机制会导致双摆动态。双摆效应将使大多数现有的起重机控制方法无法正常工作。因此,本文开发了一种适用于参数不确定性和外部干扰的双摆臂桥式起重机的自适应跟踪控制器。所提出的自适应跟踪控制方法可确保手推车跟踪误差始终在边界条件的先前集合内,并迅速收敛到零。 Lyapunov技术和Barbalat的引理确保了闭环系统平衡点的渐近稳定性。仿真结果表明,所提出的自适应跟踪控制方法在系统参数不确定性和外部干扰方面具有鲁棒性。

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