2001 European Control Conference (ECC) 2001
DOI: 10.23919/ecc.2001.7076437
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Discrete-time sliding mode control with a disturbance estimator

Abstract: This paper presents a novel output-based, discrete-time, sliding mode controller design methodology. Output based controllers with and without disturbance estimation are presented. First several existing discrete-time reaching conditions are analyzed and compared. From these methods the linear reaching law is selected to form the basis for the output-based controller design.

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Cited by 42 publications
(71 citation statements)
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“…Hence, in this paper, we construct the nonlinear part of the controller by using only the external disturbance information. The sequel of this paper, aims to consider the stability of the system (1) using the controller (22). Hence, applying the controller (22) to the system (1), it is seen that…”
Section: Sliding Mode Controllermentioning
confidence: 99%
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“…Hence, in this paper, we construct the nonlinear part of the controller by using only the external disturbance information. The sequel of this paper, aims to consider the stability of the system (1) using the controller (22). Hence, applying the controller (22) to the system (1), it is seen that…”
Section: Sliding Mode Controllermentioning
confidence: 99%
“…Theorem 2: The control law (22) can drive the system state into a boundary layer around the ideal sliding surface (2) and, in addition, the system state is ultimately bounded if there exist a symmetric matrix P > 0 and scalars ε > 0 and η > 0 satisfying the following LMI,…”
Section: Sliding Mode Controllermentioning
confidence: 99%
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“…The main advantages of the SMC are that when the sliding mode is ensured, then the system is insensitive to external disturbances, system parameter variations, and modeling errors, and a relative simplicity of implementation is achieved. These properties of the SMC make it a popular and suitable method for the design of a robust controller [28][29][30]. A three-phase four-leg VSI will be modeled and controlled because of the focus of this paper.…”
Section: Modeling the Three-phase Four-leg Vsimentioning
confidence: 99%