1996
DOI: 10.1002/(sici)1099-1239(199604)6:3<201::aid-rnc144>3.0.co;2-t
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Robust tracking control of an induction motor

Abstract: This paper address the tracking control problem of a induction motor driving a mechanical load. Based on the nonlinear dynamics of the induction motor, a robust tracking controller is developed which can compensate for parametric uncertainties and additive bounded disturbances throughout the entire electromechanical system. A uniform ultimate bounded (UUB) result is obtained for the rotor position tracking error. Simulation results with full state measurements and a flux observer are presented to illustrate th… Show more

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Cited by 16 publications

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“…In the linearized system (13), if there is no parameter uncertainty, that is " ,0, the linear control theory can be used to synthesize it; if the parameters are unknown and constant, adaptive control solution [4] can be applied. However, in practice, the parameters are usually time-varying and external disturbances are often present.…”
Section: Induction Motor: Model and Linearization
mentioning
confidence: 99%
“…For clarity, we assume that all the states are available in this section. Although Theorem 2 can be directly applied to the linearized model (13), the upper bound for the time-varying coe$cient of disturbance [ ]2 is di$cult to determine. In order to make the following control design easier, we "rst transform the linearized model into two second-order subsystems.…”
Section: H-r Full State Feedback Control Of Induction Motor
mentioning
confidence: 99%
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How this paper cites the one you are viewing
“…In the linearized system (13), if there is no parameter uncertainty, that is " ,0, the linear control theory can be used to synthesize it; if the parameters are unknown and constant, adaptive control solution [4] can be applied. However, in practice, the parameters are usually time-varying and external disturbances are often present.…”
Section: Induction Motor: Model and Linearization
mentioning
confidence: 99%
“…For clarity, we assume that all the states are available in this section. Although Theorem 2 can be directly applied to the linearized model (13), the upper bound for the time-varying coe$cient of disturbance [ ]2 is di$cult to determine. In order to make the following control design easier, we "rst transform the linearized model into two second-order subsystems.…”
Section: H-r Full State Feedback Control Of Induction Motor
mentioning
confidence: 99%