2017
DOI: 10.1109/tie.2016.2583412
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Disturbance/Uncertainty Estimation and Attenuation Techniques in PMSM Drives—A Survey

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Cited by 522 publications
(264 citation statements)
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References 92 publications
(136 reference statements)
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“…A third-order NLESO is designed to estimate the new state _ X 3 for system (13). The form of NLESO is shown as follows …”
Section: Nleso For Hrvmentioning
confidence: 99%
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“…A third-order NLESO is designed to estimate the new state _ X 3 for system (13). The form of NLESO is shown as follows …”
Section: Nleso For Hrvmentioning
confidence: 99%
“…Consider the estimation error system (16) for an HRV with nonlinear uncertainty and actuator saturation described in (13). 35 Conditions (19), (20), (21), and (22) are satisfied with ð0Þ ¼ 0.…”
Section: Theoremmentioning
confidence: 99%
See 1 more Smart Citation
“…(1) only the position sensor is equipped and the speed sensor is unavailable; (2) the position sensor measurement signal is polluted by white noise; and (3) multiple internal and external disturbances concurrently exist in the PMSM drive system [19]. It should be specially pointed out that the dynamic of PMSM is an essential nonlinear subject to a wide range of disturbances/uncertainties in many highperformance applications.…”
Section: Introductionmentioning
confidence: 99%
“…It should be specially pointed out that the dynamic of PMSM is an essential nonlinear subject to a wide range of disturbances/uncertainties in many highperformance applications. According to Yang et al [19], the disturbances/uncertainties in PMSM systems can be classified as unmodeled dynamics, parametric uncertainties, and external disturbances. The unmodeled dynamics generally include the motor body structure-induced torque (such as cogging torque, flux harmonics, and other factors), deadtime effects, and measurement error effects.…”
Section: Introductionmentioning
confidence: 99%