2017
DOI: 10.1109/tia.2016.2603464
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Time Synchronization Mechanisms for the Industrial Marketplace

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Cited by 24 publications
(5 citation statements)
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“…Figure 2 f plots the cumulative distribution function of the switching duration Δ s over 120 independent switching events, defined as the time interval between the switch at one endpoint and the switch at the other. Independent switching requires a median value of Δ s = 230 ms, as the switch may happen at slightly different time instants in the two endpoints, which only rely on NTP for a loose synchronization 39 . The coordinated approach takes <42 ms in the worst case (median 30.11 ms), as the switch is triggered by a centralized controller for both endpoints.…”
Section: Resultsmentioning
confidence: 99%
“…Figure 2 f plots the cumulative distribution function of the switching duration Δ s over 120 independent switching events, defined as the time interval between the switch at one endpoint and the switch at the other. Independent switching requires a median value of Δ s = 230 ms, as the switch may happen at slightly different time instants in the two endpoints, which only rely on NTP for a loose synchronization 39 . The coordinated approach takes <42 ms in the worst case (median 30.11 ms), as the switch is triggered by a centralized controller for both endpoints.…”
Section: Resultsmentioning
confidence: 99%
“…However, renewable output tends to be uncertain and intermittent, which puts forward higher requirements for the time synchronization precision of PV-grid connection and regulation [4][5]. Traditional methods leverage wireless communication or optical fibers for time synchronization, both of which possess high costs and low coverage in the distribution network [6][7]. Therefore, it is urgent to investigate a power line communication (PLC) wide coverage-appropriated time synchronization technology to satisfy the rigid requirements for renewable energy services such as PV-grid connection.…”
Section: Introductionmentioning
confidence: 99%
“…How to control mechatronic systems in an accurate way is a crucial issue in industry, the problem appearing in traditional conveyer and rolling-mill drives, paper machines, robot arm drives, CNC machines, or MEMS (micro-electromechanical systems), etc. [1][2][3][4][5][6][7][8][9][10]. When designing an advanced drive system, one should take into consideration all factors that can potentially affect the performance of the control, including the mechanical characteristics of the drive, especially the finite stiffness of the shaft.…”
Section: Introductionmentioning
confidence: 99%
“…A factor which may have negative impact on the performances of a mechatronic drive is the variation of the plant parameters. In order to compensate the mentioned factors, a suitable control algorithm has to be introduced [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%