2023
DOI: 10.1109/tie.2022.3158018
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Advanced Synchronous Control of Dual Parallel Motion Systems

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Cited by 7 publications
(8 citation statements)
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“…However, the driving and synchronization objectives exhibit a strong interdependence in the original coordinates, as depicted in Figure 1, which could be difficult to analyze due to the coupling effect. In recent literature, it is a common and effective method to transform dynamics model into the control‐oriented virtual coordinates [7, 12, 18, 20]. []TLdriveTLsyncbadbreak=bold-italicP[]TL1TL2$$\begin{equation}\left[ { \def\eqcellsep{&}\begin{array}{@{}*{1}{c}@{}} {{T}_{Ldrive}}\\ {{T}_{Lsync}} \end{array} } \right] = {\bm{P}}\left[ { \def\eqcellsep{&}\begin{array}{@{}*{1}{c}@{}} {{T}_{L1}}\\ {{T}_{L2}} \end{array} } \right]\end{equation}$$where P${\bm{P}}$ is the transformation matrix; TLdrive${T}_{Ldrive}$ and TLsync${T}_{Lsync}$ represent load torque in the virtual drive‐axis and the sync‐axis, respectively.…”
Section: System Modelling and Problem Formulationmentioning
confidence: 99%
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“…However, the driving and synchronization objectives exhibit a strong interdependence in the original coordinates, as depicted in Figure 1, which could be difficult to analyze due to the coupling effect. In recent literature, it is a common and effective method to transform dynamics model into the control‐oriented virtual coordinates [7, 12, 18, 20]. []TLdriveTLsyncbadbreak=bold-italicP[]TL1TL2$$\begin{equation}\left[ { \def\eqcellsep{&}\begin{array}{@{}*{1}{c}@{}} {{T}_{Ldrive}}\\ {{T}_{Lsync}} \end{array} } \right] = {\bm{P}}\left[ { \def\eqcellsep{&}\begin{array}{@{}*{1}{c}@{}} {{T}_{L1}}\\ {{T}_{L2}} \end{array} } \right]\end{equation}$$where P${\bm{P}}$ is the transformation matrix; TLdrive${T}_{Ldrive}$ and TLsync${T}_{Lsync}$ represent load torque in the virtual drive‐axis and the sync‐axis, respectively.…”
Section: System Modelling and Problem Formulationmentioning
confidence: 99%
“… []TLdriveTLsyncbadbreak=bold-italicP[]TL1TL2$$\begin{equation}\left[ { \def\eqcellsep{&}\begin{array}{@{}*{1}{c}@{}} {{T}_{Ldrive}}\\ {{T}_{Lsync}} \end{array} } \right] = {\bm{P}}\left[ { \def\eqcellsep{&}\begin{array}{@{}*{1}{c}@{}} {{T}_{L1}}\\ {{T}_{L2}} \end{array} } \right]\end{equation}$$where P${\bm{P}}$ is the transformation matrix; TLdrive${T}_{Ldrive}$ and TLsync${T}_{Lsync}$ represent load torque in the virtual drive‐axis and the sync‐axis, respectively. Motivated by [20], 1‐axis is defined as the virtual drive‐axis. Compared to other transformations, this particular transformation effectively separates the driving and synchronization objectives, thereby simplifying the expression of the system.…”
Section: System Modelling and Problem Formulationmentioning
confidence: 99%
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“…Dual-drive H-type gantry cranes are long-stroke high-speed Cartesian robotic systems which can be used in several industrial applications, such as (i) circuit assembly, printing circuit boards, photolithography, (ii) precision machining, computer numerical control (CNC), arc welding and laser or plasma cutting, (iii) as lifting machines and for the loading, unloading and transfer of cargos, and finally (iv) in biomedical applications such as CT and X-ray scanning [26][27][28]. The dual-drive H-type gantry crane consists of two linear motors which are arranged in parallel along the vertical axes of an orthogonal board and which are rigidly connected with a cross-beam along the horizontal axis [29][30][31] . Dual drive gantry cranes can achieve high torque and high precision in tasks' execution [32][33][34].…”
Section: Introductionmentioning
confidence: 99%