2018
DOI: 10.1109/jas.2018.7511072
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Adaptive Proportional-Derivative Sliding Mode Control Law With Improved Transient Performance for Underactuated Overhead Crane Systems

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Cited by 71 publications
(43 citation statements)
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“…Also, considering (31), the following can be obtained: Similarly, considering (32), it can also be verified that…”
Section: Neural-network Design As Shown Inmentioning
confidence: 79%
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“…Also, considering (31), the following can be obtained: Similarly, considering (32), it can also be verified that…”
Section: Neural-network Design As Shown Inmentioning
confidence: 79%
“…The model predictive control (MPC) was proposed by Wu et al [21]. The SMC control (which is the focus of this work) had been studied in [1,[22][23][24][25][26][27][28][29][30][31][32]. SMC is a special type of variable structure control characterized by a discontinuous control structure that switches as the system crosses certain manifold in the statespace to drive the system trajectory to reach and subsequently remain on the sliding manifold within the state space [33].…”
Section: Introductionmentioning
confidence: 99%
“…However, it requires a certain knowledge of system parameters discussed in the above mentioned specialized literatures, while in many practices it is difficult to obtain accurately (Kara & Mary, 2017, Yue et al, 2016. In (Zhang et al, 2018), the APD-SMC method was employed to enhance the capability of 2D overhead crane systems as it is simple and robust. A robust model-free inner-outer layer controller scheme was proposed in (Gao et al, 2019), which had the advantages of simplicity and robustness.…”
Section: Introductionmentioning
confidence: 99%
“…The task of the robot crane is to find a path free of collisions starting position moves to the target position in a environment with obstacles [17]. To increase productivity, the overhead crane transports the payload as fast as possible to its destination [18]. Basically, the crane drive system uses a motor.…”
Section: Introductionmentioning
confidence: 99%