2017 29th Chinese Control and Decision Conference (CCDC) 2017
DOI: 10.1109/ccdc.2017.7978148
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Modeling and control of a two-link flexible space manipulator using the wave-based method

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Cited by 1 publication
(2 citation statements)
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“…There are four main approaches that are commonly used in the literature: lumped parameter method (LPM), assumed mode method (AMM), finite element method (FEM), and transfer matrix method (TMM). Apart from these common methods, there are other methods used for the development of the dynamic model of the FLMs which include, but are not limited to, perturbation method (Khadem and Pirmohammadi, 2003;Jonker and Aarts, 2001), pseudo-rigid body method (Yanan et al, 2017), global mode method (Wei et al, 2017), and modal integration method (Aarts and Jonker, 2002).…”
Section: Methods Of Dynamic Modeling Of Flexible Bodiesmentioning
confidence: 99%
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“…There are four main approaches that are commonly used in the literature: lumped parameter method (LPM), assumed mode method (AMM), finite element method (FEM), and transfer matrix method (TMM). Apart from these common methods, there are other methods used for the development of the dynamic model of the FLMs which include, but are not limited to, perturbation method (Khadem and Pirmohammadi, 2003;Jonker and Aarts, 2001), pseudo-rigid body method (Yanan et al, 2017), global mode method (Wei et al, 2017), and modal integration method (Aarts and Jonker, 2002).…”
Section: Methods Of Dynamic Modeling Of Flexible Bodiesmentioning
confidence: 99%
“…The combination of input shaping and feedback control was used to formulate a new control approach called wave-based control, where the launch wave being a simple, shaped input, and the absorb part the feedback contribution (O'Connor, 2008). Yanan et al (2017) proposed the wave-based control method to solve the problem of residual vibration in the pointto-point movement of a two-link flexible space manipulator. They claimed that the wave-based control has many advantages, such as not dependent on an accurate physical model, simple and easy to implement, and strong robustness.…”
Section: Model-based Control Techniquesmentioning
confidence: 99%