2022
DOI: 10.1109/tie.2021.3088380
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Robust Multi-Objective Optimization of a 3-Pole Active Magnetic Bearing Based on Combined Curves With Climbing Algorithm

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Cited by 39 publications
(15 citation statements)
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“…Among these advancements, magnetic bearing technology has attracted considerable attention as it enables precise and intelligent control of high-speed rotation systems as well as its advantages in terms of energy efficiency, lack of lubrication, high rotational speed capability, and precision control. [1][2][3][4][5][6][7][8] Magnetic bearings can be classified into two main types based on their magnetic flux paths: homopolar and heteropolar. The former maintains the same polarity in all radial directions, whereas the latter exhibits varying polarities.…”
Section: Introductionmentioning
confidence: 99%
“…Among these advancements, magnetic bearing technology has attracted considerable attention as it enables precise and intelligent control of high-speed rotation systems as well as its advantages in terms of energy efficiency, lack of lubrication, high rotational speed capability, and precision control. [1][2][3][4][5][6][7][8] Magnetic bearings can be classified into two main types based on their magnetic flux paths: homopolar and heteropolar. The former maintains the same polarity in all radial directions, whereas the latter exhibits varying polarities.…”
Section: Introductionmentioning
confidence: 99%
“…In Ref. [9], a combined curve with the Climbing Algorithm was used to find the robust optimal solution, which reduced the sensitivity of the system to parameter changes, thus improving the robustness of the magnetic bearing system. In literature [10], a special extended observer is designed to identify iterative perturbations and compensate the iterative learning controller so as to suppress the perturbations.…”
Section: Introductionmentioning
confidence: 99%
“…And multi-objective optimisation based on sequential subspace optimisation and the climbing algorithm was proposed, respectively, in refs. [17,18]. A bearingless motor design chain is proposed in ref.…”
Section: Introductionmentioning
confidence: 99%