2021
DOI: 10.3390/act10110306
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Predefined-Time Control of Full-Scale 4D Model of Permanent-Magnet Synchronous Motor with Deterministic Disturbances and Stochastic Noises

Abstract: This paper presents a predefined-time convergent robust control algorithm that allows the control designer to set the convergence time in advance, independently of initial conditions, deterministic disturbances, and stochastic noises. The control law is consequently designed and verified by simulations for a full-scale 4-degrees-of-freedom (4D) permanent-magnet synchronous motor (PMSM) system in cases of a disturbance-free system with completely measurable states, a disturbance-free system with incompletely me… Show more

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Cited by 14 publications
(18 citation statements)
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“…This problem was originally investigated in [15]. Here, we present an alternative solution to this problem and demonstrate its advantages with respect to some performance indices, such as a control input magnitude.…”
Section: Dear Editormentioning
confidence: 95%
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“…This problem was originally investigated in [15]. Here, we present an alternative solution to this problem and demonstrate its advantages with respect to some performance indices, such as a control input magnitude.…”
Section: Dear Editormentioning
confidence: 95%
“…The predefined-time convergent linear time-varying control law, stabilizing the system state at the origin in presence of unknown nonlinearities, is designed based on the conventional backstepping technique, which makes it straightforwardly obtainable and intuitively consistent. The conducted numerical simulations show that the designed control input provides a lesser magnitude and, in some cases, faster real convergence times and is easier computable than some existing control laws, such as those proposed in [15].…”
Section: Dear Editormentioning
confidence: 97%
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