2006 IEEE Conference on Cybernetics and Intelligent Systems 2006
DOI: 10.1109/iccis.2006.252318
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LabVIEW Implementation of an Auto-tuning PID Regulator via Grey-predictor

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Cited by 11 publications
(8 citation statements)
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“…The buses are also available for inclusion. The abstraction layers and drivers act as graphical nodes and enable to communicate effectively with the hardware devices thereby offering standard software interfaces [8].…”
Section: Labview Packagementioning
confidence: 99%
“…The buses are also available for inclusion. The abstraction layers and drivers act as graphical nodes and enable to communicate effectively with the hardware devices thereby offering standard software interfaces [8].…”
Section: Labview Packagementioning
confidence: 99%
“…The buses are also accessible for addition. The abstraction layers and drivers act as graphical nodes and enable to communicate effectively with the hardware devices thereby offering standard software interfaces [12]. This software is used to build up virtual instrumentation (vi) which comprises of the front panel and a functional block diagram.…”
Section: Hardware Implementationmentioning
confidence: 99%
“…The value of K p , T d and T i are tuned depending on the present error, accumulation of past errors and prediction of future error respectively [12].…”
Section: Design Of Robust Digital Controllermentioning
confidence: 99%
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“…where u(t) is the control output, K p is the proportional gain constant, T d is the derivative time or rate time constant, T i is the integral time or reset time constant and e [12]. The Laplace transfer function of the corresponding PID controller is given as:…”
Section: Design Of Digital Controllermentioning
confidence: 99%