2018
DOI: 10.1007/s12555-016-0343-9
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Finite Frequency Vibration Suppression for Space Flexible Structures in Tip Position Control

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Cited by 10 publications
(3 citation statements)
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“…In recent years, the use of flexible structures has been increasing in many applications, especially due to their lightweight and lower cost. Especially in the field of aerospace and robotics, many elements are modeled as flexible since structures are desired to be light and quickly movable [1]. Controlling flexible structures is more complicated than rigid systems.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the use of flexible structures has been increasing in many applications, especially due to their lightweight and lower cost. Especially in the field of aerospace and robotics, many elements are modeled as flexible since structures are desired to be light and quickly movable [1]. Controlling flexible structures is more complicated than rigid systems.…”
Section: Introductionmentioning
confidence: 99%
“…Concerning control algorithms for oscillation suppression of smart beams and structures, most of the published papers employed conventional linear control methods, e.g. negative velocity feedback control (Sun & Huang, 2001), traditional PID (Kumar et al, 2014;Zhang et al, 2015), fractional-order PID (Xu et al, 2018), LQR and LQG optimal control (Bruant et al, 2001;Zhang et al, 2010), H ∞ robust control (Sahin & Aridogan, 2011), or nonlinear control methods such as sliding mode control (Itik et al, 2005) and fuzzy controller (Moradi et al, 2014), or MIMO algorithm (Zhu et al, 2012). Most of these papers merely contemplated the free vibration case which has no steady-state error.…”
Section: Introductionmentioning
confidence: 99%
“…The linear transformation permits us to transform any time function into a complex function whose variable is s ¼ iω þ σ, where i is the complex operator, ω is the angular frequency, and σ is a real value. The complex function can represent in the complex s-plane, where their axes represent the real and imaginary parts of the complex variable s. This complex plane does feasible the study of dynamic systems, and some applications are the tuning closed-loop, stability, mathematical methods, fault detection, optimization, and filter design [21][22][23]. In addition, the s-plane permits graphical methods such as pole-zero map, Bode diagrams, root locus, polar plots, gain margin and phase margin, Nichols charts, and N circles [24].…”
Section: Introductionmentioning
confidence: 99%