2008
DOI: 10.1007/s11071-008-9432-5
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Stability and Hopf bifurcation of the maglev system with delayed position and speed feedback control

Abstract: In this paper, the dynamic behavior of suspension system of maglev train with time-delayed position and velocity feedback signal is considered with rigid guideway. The stability conditions of the system are obtained with characteristic root method. The Hopf bifurcation direction and stability of the system at the critical point are also investigated. Based on center manifold reduction and Poincaré normal form theory, the general formula for the direction, the estimation formula of period and stability of Hopf … Show more

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Cited by 35 publications
(15 citation statements)
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“…Note that k p influences the steady-state error and hence the stiffness, k d controls the suspension damping and k a the overall stability margin. Some previous work [11,12] assumed that the time delay occurs only in one or two of the feedback control variables, however, we make the more reasonable assumption, as in [13], that all the feedback control variables have a time delay. We use z aτ = z a (t − τ ),ż aτ andz aτ to denote, respectively, the position, velocity and acceleration feedback control signals with time delay.…”
Section: Linear Stability Analysis and Existence Of Hopf Bifurcationmentioning
confidence: 99%
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“…Note that k p influences the steady-state error and hence the stiffness, k d controls the suspension damping and k a the overall stability margin. Some previous work [11,12] assumed that the time delay occurs only in one or two of the feedback control variables, however, we make the more reasonable assumption, as in [13], that all the feedback control variables have a time delay. We use z aτ = z a (t − τ ),ż aτ andz aτ to denote, respectively, the position, velocity and acceleration feedback control signals with time delay.…”
Section: Linear Stability Analysis and Existence Of Hopf Bifurcationmentioning
confidence: 99%
“…We use realistic values [11,12] for the physical parameters as given in Table 1. We choose the control parameters k p and k a according to …”
Section: Lemma 1 ([13]mentioning
confidence: 99%
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