Reinforcement learning-based optimal tracking control for levitation system of maglev vehicle with input time delay
Y Sun, J Xu, C Chen, W Hu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The running environment of a magnetic levitation (maglev) vehicle is complex, with
problems such as track irregularity, external disturbance, varying system parameters, and …
problems such as track irregularity, external disturbance, varying system parameters, and …
Magnetic levitation technology for precision motion systems: A review and future perspectives
L Zhou, J Wu - International Journal of Automation Technology, 2022 - jstage.jst.go.jp
Precision motion systems are the core of a wide range of manufacturing equipment and
scientific instruments, and their motion performance directly determines the quality and …
scientific instruments, and their motion performance directly determines the quality and …
A state of art review on applications of multi-objective evolutionary algorithms in chemicals production reactors
Z Al Ani, AM Gujarathi, AH Al-Muhtaseb - Artificial Intelligence Review, 2023 - Springer
Chemical reactors are employed to produce several materials, which are utilized in
numerous applications. The wide use of these chemical engineering units shows their …
numerous applications. The wide use of these chemical engineering units shows their …
A reflective-type heterodyne grating interferometer for three-degree-of-freedom subnanometer measurement
J Zhu, G Wang, S Wang, X Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A heterodyne grating interferometer (HTGI) able to simultaneously measure the three-axis
translational displacements of ultraprecision motion stages with a subnanometer resolution …
translational displacements of ultraprecision motion stages with a subnanometer resolution …
Cascaded iterative learning motion control of precision maglev planar motor with experimental investigation
H Fu, C Hu, D Yu, Y Zhu, M Zhang - ISA transactions, 2023 - Elsevier
Cascaded iterative learning control (CILC) is explored for a magnetically levitated (maglev)
planar motor to achieve excellent tracking motion performance in this paper. The CILC …
planar motor to achieve excellent tracking motion performance in this paper. The CILC …
Characteristic analysis of coreless-type linear synchronous motor with the racetrack coils as secondary for EDS maglev train
G Lv, Y Liu, Z Zhang, T Zhou - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
The characteristics of coreless-type linear synchronous motor, which is applied in the
propulsion system of electrodynamic suspension maglev train are calculated and analyzed …
propulsion system of electrodynamic suspension maglev train are calculated and analyzed …
[HTML][HTML] Integrated optimization of 3D structural topology and 2D Halbach parameters for maglev planar motor
H Fu, C Hu, M Zhang, Y Zhu - Materials & Design, 2023 - Elsevier
With the increasing demand of mechanical stiffness performance and electromagnetic
performance of maglev planar motor, especially the moving-magnet motor with Halbach …
performance of maglev planar motor, especially the moving-magnet motor with Halbach …
Iterative super-twisting sliding mode control for tray indexing system with unknown dynamics
Tray indexing driven by a timing-belt actuator is commonly used in the manufacturing
industry, in situations where precise and fast reference tracking is required to ensure product …
industry, in situations where precise and fast reference tracking is required to ensure product …
Global iterative sliding mode control of an industrial biaxial gantry system for contouring motion tasks
This article proposes a global iterative sliding mode control approach for high-precision
contouring tasks of a flexure-linked biaxial gantry system. For such high-precision …
contouring tasks of a flexure-linked biaxial gantry system. For such high-precision …
Dual-loop iterative learning control with application to an ultraprecision wafer stage
M Li, T Chen, R Cheng, K Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Iterative learning control (ILC) enables high performance for motion systems executing
repetitive tasks. The robustness filter of ILC enhances the robustness wrt model …
repetitive tasks. The robustness filter of ILC enhances the robustness wrt model …