2002
DOI: 10.1109/87.974335
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Feedback linearization of an active magnetic bearing with voltage control

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Cited by 143 publications
(58 citation statements)
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“…En lo que se refiere al control de este sistema existen en la literatura algunos trabajos que abordan el tema. Lindlau et al (Lindlau, 2002) presentan un controlador mediante linealización por realimentación y, observando su funcionamiento mediante la medición de salida ante entradas lineales, se muestran resultados experimentales del comportamiento del sistema. En Mahindrakar (2008) se presenta un esquema de control para estabilizar el sistema, tomando en cuenta que tiene entrada y estados restringidos, proponiendo un controlador basado en Lyapunov, y realizando la comparación con una ley de control lineal.…”
Section: Introductionunclassified
“…En lo que se refiere al control de este sistema existen en la literatura algunos trabajos que abordan el tema. Lindlau et al (Lindlau, 2002) presentan un controlador mediante linealización por realimentación y, observando su funcionamiento mediante la medición de salida ante entradas lineales, se muestran resultados experimentales del comportamiento del sistema. En Mahindrakar (2008) se presenta un esquema de control para estabilizar el sistema, tomando en cuenta que tiene entrada y estados restringidos, proponiendo un controlador basado en Lyapunov, y realizando la comparación con una ley de control lineal.…”
Section: Introductionunclassified
“…Consider the magnetic-material saturation in practice [7], the generalized control flux will be bounded by its minimum value and its maximum value , and hence, the nonlinear function in (10) will be bounded by its minimum value and its maximum value . Using the idea of "sector nonlinearity" [6], the nonlinear function can be represented by (12) where is the premise variable, and are membership functions, and (13) Then, under the assumption on bounds of the generalized control flux , we can exactly represent the nonlinear time-varying AMB model (8) with the T-S fuzzy model as (14) where and are matrices that are obtained by replacing in matrix with and , respectively, and…”
Section: T-s Fuzzy Model Of Ambmentioning
confidence: 99%
“…Note that the possibility to linearize all state equations depends on restrictive integrability conditions and as such the approach is applicable only to a limited non-zero bias mode (see, e.g., Lindlau and Knospe, 2002;Chen and Knospe, 2005;Jastrzebski et al, 2014). There exist many papers that apply feedback linearization to make the system equations exactly linear; see a brief overview below.…”
Section: Introductionmentioning
confidence: 99%