2008
DOI: 10.1016/j.conengprac.2007.05.008
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Observer-based second order sliding mode control laws for stepper motors

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Cited by 77 publications
(40 citation statements)
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“…Published by Elsevier Ltd. All rights reserved. doi:10.1016/j.isatra.2010.03.010 has the advantage that it provides a smooth control and better performance in the control implementation yielding less chattering and better convergence accuracy while preserving the robustness properties [22,23]. The main idea is to reduce to zero, not only the sliding surface, but also its second-order derivative.…”
Section: Introductionmentioning
confidence: 96%
“…Published by Elsevier Ltd. All rights reserved. doi:10.1016/j.isatra.2010.03.010 has the advantage that it provides a smooth control and better performance in the control implementation yielding less chattering and better convergence accuracy while preserving the robustness properties [22,23]. The main idea is to reduce to zero, not only the sliding surface, but also its second-order derivative.…”
Section: Introductionmentioning
confidence: 96%
“…On the other hand, PM stepper motors and PM synchronous motors are widely used as positioning devices because of their ability to provide accurate control over position (Bodson, Chiasson, Novotnak, and Rekowski 1993;Bridges and Dawson 1994;Melkote and Khorrami 1999;Nollet, Floquet, and Perruqueti 2009). Moreover, both of these motors have higher torque to inertia ratio than brushed DC motors; they have no brushes, require less maintenance, are more reliable and have better heat dissipation properties since windings are on the stator (Zribi and Chiasson 1991;Hu, Dawson, Burg, and Vedagarbha 1994;Melkote and Khorrami 1999;Nollet et al 2009).…”
Section: Introductionmentioning
confidence: 97%
“…As a nonlinear observer, research on sliding-mode observers, designed to converge on the defined sliding manifold, is pursued (Utkin, 1993;Wu et al, 2007). These various types of state observer are utilized in various research topics such as a sensorless drive for motor actuators and estimation of system state information (Nollet et al, 2008;Kim et al, 2008).…”
Section: Introductionmentioning
confidence: 99%