2009
DOI: 10.1177/1077546309106142
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Command Shaping for Nonlinear Crane Dynamics

Abstract: Motion-induced vibration can be greatly reduced by properly shaping the reference command. Input shaping is one type of reference shaping method that is based largely on linear superposition. In this paper we document the impact of nonlinear crane dynamics on the effectiveness of input shaping. As typical bridge cranes are driven using Cartesian motions, they behave nearly linearly for low- and moderate-velocity motions. On the other hand, the natural rotational motions of tower cranes make them more nonlinear… Show more

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Cited by 121 publications
(67 citation statements)
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“…Using notch filter or advanced Input Shaping method like ZV (Zero Vibration) (11) to control the external input force which may influence the flywheel energy storage system, we achieved likeable results. The ZV shaper is given by:…”
Section: Passive Control Using Feedforward Input Shapermentioning
confidence: 99%
“…Using notch filter or advanced Input Shaping method like ZV (Zero Vibration) (11) to control the external input force which may influence the flywheel energy storage system, we achieved likeable results. The ZV shaper is given by:…”
Section: Passive Control Using Feedforward Input Shapermentioning
confidence: 99%
“…In order to increase the productivity of overhead cranes (OC) it is necessary to damp the residual pendulum oscillation of the load (Shchedrin et al 2007, Blackburn et al 2010, Tolochko et al 2010, Omar 2003, Abdel-Rahman et al 2003, Fang et al 2003. The method of providing the load movement along the required smooth trajectory has been developed, which reduces the load uncontrolled fluctuations (Shcherbakov et al 2012-2015.…”
Section: Introductionmentioning
confidence: 99%
“…Some researchers have presented several methods to attack the issue, i.e., decoupling control [14], passivity-based control [15], wave-based control [16], hierarchical sliding mode control [17,18], input shaping control [12,13,[19][20][21][22][23], neuralnetwork-based intelligent control [24], e ct. The methods can roughly be divided into two categories according to the type of control structure, i.e., feedback control [14][15][16][17][18]24] or feedforward control [12,13,[19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…The methods can roughly be divided into two categories according to the type of control structure, i.e., feedback control [14][15][16][17][18]24] or feedforward control [12,13,[19][20][21][22][23]. Any method has both merits and drawbacks.…”
Section: Introductionmentioning
confidence: 99%