2016
DOI: 10.1016/j.automatica.2015.10.038
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Repetitive learning position control for full order model permanent magnet step motors

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Cited by 13 publications
(4 citation statements)
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“…There are several drawbacks that have hindered the widespread adoption of SMs in servo applications. One significant limitation is their inherent nonlinear behavior, which poses challenges in achieving high-quality control and precise positioning [22] . Furthermore, SMs often exhibit lower torque density than other motor types, restricting their suitability for applications requiring high torque output [23] .…”
Section: Stepping Motormentioning
confidence: 99%
“…There are several drawbacks that have hindered the widespread adoption of SMs in servo applications. One significant limitation is their inherent nonlinear behavior, which poses challenges in achieving high-quality control and precise positioning [22] . Furthermore, SMs often exhibit lower torque density than other motor types, restricting their suitability for applications requiring high torque output [23] .…”
Section: Stepping Motormentioning
confidence: 99%
“…До методів дослідження, які можна застосувати до даного предмету, є аналіз статистичних даних. Аналіз, в основі -уявне розкладання предмета на частини, які його складають [3][4][5][6][7][8][9]. Для створення нових засобів можна застосувати метод синтез, який об'єднує умовиводи, отримані в ході попереднього методу дослідження, в єдине ціле.…”
Section: мета і завдання дослідженняunclassified
“…Utilizing the boundedness of e(t) and r(t) in view of Assumption 2 along with (26), it is easy to prove thaṫe(t) ∈  ∞ . Boundedness of e(t),̇e(t), x d (t) andẋ d (t) can be used along with (23) and its time derivative to ensure that x(t),ẋ(t) ∈  ∞ . Utilizing r(t) ∈  ∞ and properties of the saturation function in (37),N(t) ∈  ∞ .…”
Section: Proofmentioning
confidence: 99%
“…In , a sliding mode based repetitive learning controller was designed for tracking control of robot manipulators subject to actuator saturation. Recently, in , Verrelli et al. researched several aspects of a linear repetitive learning control method where Padé approximation was made use of.…”
Section: Introductionmentioning
confidence: 99%