2003
DOI: 10.1016/s0022-460x(02)01066-0
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Large motion tracking control for thrust magnetic bearings with fuzzy logic, sliding mode, and direct linearization

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Cited by 25 publications
(8 citation statements)
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“…Some scholars have studied the position tracking performance of the rotor controlled by radial magnetic bearings, and studied proportionalintegral-derivative (PID) control and advanced robust control such as μ-Synthesis. Minihan et al (2003) investigated the position tracking of large axial gaps using a nonlinear control algorithm. In this paper, the classical algorithm, PID control, is applied to designing the magnetic bearing controller, and the position control performance of the magnetic thrust bearing is carried out.…”
Section: Control Performance Of a Magnetic Thrust Bearing Systemmentioning
confidence: 99%
“…Some scholars have studied the position tracking performance of the rotor controlled by radial magnetic bearings, and studied proportionalintegral-derivative (PID) control and advanced robust control such as μ-Synthesis. Minihan et al (2003) investigated the position tracking of large axial gaps using a nonlinear control algorithm. In this paper, the classical algorithm, PID control, is applied to designing the magnetic bearing controller, and the position control performance of the magnetic thrust bearing is carried out.…”
Section: Control Performance Of a Magnetic Thrust Bearing Systemmentioning
confidence: 99%
“…Marshall et al [12] and Kasarda et al [13] used constant derating factor, calculated with initial readings, in multi-point technique. Minihan et al [14] considered a constant fringe factor in the control of a magnetic thrust bearing. Rao and Tiwari [15,18] implemented multi-objective genetic algorithms (MOGAs) for the optimization of active magnetic thrust bearings (AMTB) with pure electromagnets and hybrid active magnetic thrust bearings (HAMTB) with permanent and electromagnets considering constant loss factors.…”
Section: List Of Symbolsmentioning
confidence: 99%
“…The control action in a sliding mode controller is designed to force the system trajectory to reach the sliding surface (reaching or hitting phase) and to slide along it (sliding phase) or to remain in its vicinity [9][10][11][12]. The outstanding merit of the sliding mode controller is robustness against structured and unstructured uncertainties during the sliding phase [13][14][15]. However, during the reaching phase the system states are pushed toward the switching surfaces.…”
Section: Introductionmentioning
confidence: 99%