2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04.
DOI: 10.1109/icit.2004.1490746
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A nonlinear speed control for a PM synchronous motor using an adaptive backstepping control approach

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Cited by 27 publications
(11 citation statements)
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“…Nearly all the published observers have been tested with classical vector control using a proportional-integral controller. From this point-of-view, adapted nonlinear robust controls as high-order sliding mode and backstepping (Ouassaid, Cherkaoui, and Zidani 2004;Plestan, Glumineau, and Bazani 2007) could be more efficient. But all of them use the speed measurement.…”
Section: Introductionmentioning
confidence: 98%
“…Nearly all the published observers have been tested with classical vector control using a proportional-integral controller. From this point-of-view, adapted nonlinear robust controls as high-order sliding mode and backstepping (Ouassaid, Cherkaoui, and Zidani 2004;Plestan, Glumineau, and Bazani 2007) could be more efficient. But all of them use the speed measurement.…”
Section: Introductionmentioning
confidence: 98%
“…In practice, there are many cases where the plant description can be transformed into strictfeedback form by means of static state feedback and diffeomorphic transformation. Typical examples for such plants include flights (Li, Jing, and Gao 2009), permanent magnet (PM) synchronous motor (Quassaid, Cherkaoui, and Zidani 2004), automatic guidance of farm vehicles (Fang, Lenain, Thuilot, and Martinet 2005) and active suspensions for cars (Yagiz and Hacioglu 2008) etc.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, many control methods have been proposed for PMSM with model uncertainties, such as nonlinear control [3], predictive control [4][5][6], and adaptive control [7,8]. In [9][10][11], the adaptive sliding mode control (ASMC) scheme, which combines the merits of adaptive control and sliding mode control, is proposed for the control of PMSM; the nominal parameters are assumed to be known, which is not the case for some practical applications; and then the adaptive control is used to estimate the unknown bound of the lumped disturbance.…”
Section: Introductionmentioning
confidence: 99%