2012
DOI: 10.4028/www.scientific.net/amm.150.24
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Control Parameter Tuning of Magnetic Bearing PID Controller Based on Expansion Coefficient Critical Proportion

Abstract: The digital PID controller system for magnetic bearing was described in this paper which combined Matlab technique with simulation of the magnetic bearing control to reach the influence of parameters of digital PID controller for magnetic bearing control system. The application of the expansion coefficient critical proportion for turning parameters of digital PID controller can achieve better results. Finally, provide a simple and efficient method for numerical controller of magnetic bearing.

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Cited by 4 publications
(3 citation statements)
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“…However, for complex control systems, the optimal parameters for the tuning of the controller need intelligent optimization algorithms. Instances of such intelligent algorithms are particle group algorithms (Karakuzu, 2010), genetic algorithms (Ortiz et al, 2018), neural network algorithms (Sheng et al, 2017) and various new bionic intelligence algorithms, e.g., bat algorithms (Li et al, 2018;Xue et al,2015), cuckoo search algorithms (Yildiz, 2012;Gandomi et al, 2011), etc. Extended research has been done on tuning controller parameters in recent years. Soma et al (2004) proposed a fictitious reference iterative tuning (FRIT), where only one shot of experimental data is required to perform the offline non-Y.…”
Section: Introductionmentioning
confidence: 99%
“…However, for complex control systems, the optimal parameters for the tuning of the controller need intelligent optimization algorithms. Instances of such intelligent algorithms are particle group algorithms (Karakuzu, 2010), genetic algorithms (Ortiz et al, 2018), neural network algorithms (Sheng et al, 2017) and various new bionic intelligence algorithms, e.g., bat algorithms (Li et al, 2018;Xue et al,2015), cuckoo search algorithms (Yildiz, 2012;Gandomi et al, 2011), etc. Extended research has been done on tuning controller parameters in recent years. Soma et al (2004) proposed a fictitious reference iterative tuning (FRIT), where only one shot of experimental data is required to perform the offline non-Y.…”
Section: Introductionmentioning
confidence: 99%
“…Proportionalintegral-derivative (PID) control method was already used at the early days of AMB. [3][4][5] It requires a small computing power and provides good robustness and stability, considering the operating point to be inside of a linear performance range of the AMB. PID control procedure associated with the design of decentralized controllers is able to control AMB systems with collocation of force and sensed direction of rotor movement at the position sensor's location, giving stability for discrete time control.…”
Section: Introductionmentioning
confidence: 99%
“…Η αναλογική -ολοκληρωτικήδιαφορική μέθοδος ελέγχου (PID) χρησιμοποιούνταν ήδη από τον πρώτο καιρό των ενεργών ηλεκτρομαγνητικών εδράνων [37][38][39].…”
Section: έλεγχος ενεργών ηλεκτρομαγνητικών εδράνωνunclassified