2006
DOI: 10.1007/11760023_162
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Design and Simulation of a Neural-PD Controller for Automatic Balancing of Rotor

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Cited by 2 publications
(2 citation statements)
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“…Kim and Lee [4] recognized the sensor runout with the influence coefficient method without applying additional sensors and equipment and applied the influence coefficient method to the harmonic vibration suppression of the flexible rotor. Kang et al [5] used an automatic balance method based on the influence coefficient method. The influence coefficient balancing equations, with suitable constraints on the level of the residual vibrations and the magnitude of correction weights, were cast in linear matrix inequality (LMI) forms and solved with the numerical algorithms developed in convex optimization theory by Untaroiu et al [6].…”
Section: Introductionsmentioning
confidence: 99%
“…Kim and Lee [4] recognized the sensor runout with the influence coefficient method without applying additional sensors and equipment and applied the influence coefficient method to the harmonic vibration suppression of the flexible rotor. Kang et al [5] used an automatic balance method based on the influence coefficient method. The influence coefficient balancing equations, with suitable constraints on the level of the residual vibrations and the magnitude of correction weights, were cast in linear matrix inequality (LMI) forms and solved with the numerical algorithms developed in convex optimization theory by Untaroiu et al [6].…”
Section: Introductionsmentioning
confidence: 99%
“…The main methods are using electromagnetic bearing or piezoelectric actuator. The acceleration feed-forward method is proposed to reduce the excited response of impact vibration and forced vibration on the rotor [17,18]. In fact, the input-output relationship of control system in electromagnetic bearing cannot be exactly expressed by transfer function, which brings difficulties to design and accuracy control.…”
Section: Introductionmentioning
confidence: 99%