Machine learning for the control and monitoring of electric machine drives: Advances and trends
S Zhang, O Wallscheid… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
This review article systematically summarizes the existing literature on utilizing machine
learning (ML) techniques for the control and monitoring of electric machine drives. It is …
learning (ML) techniques for the control and monitoring of electric machine drives. It is …
Analytical fractional-order PID controller design with Bode's ideal cutoff filter for PMSM speed servo system
In this article, a speed control scheme based on an analytically designed fractional-order
PID with Bode's ideal cutoff (FOPID-BICO) filter is proposed. The FOPID controller is …
PID with Bode's ideal cutoff (FOPID-BICO) filter is proposed. The FOPID controller is …
Artificial intelligence in electric machine drives: Advances and trends
S Zhang - Authorea Preprints, 2023 - techrxiv.org
This review paper systematically summarizes the existing literature on applying classical AI
techniques and advanced deep learning algorithms to electric machine drives. It is …
techniques and advanced deep learning algorithms to electric machine drives. It is …
Programming-based optimal learning sliding mode control for cooperative dual ship-mounted cranes against unmatched external disturbances
Y Qian, D Hu, Y Chen, Y Fang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
When lifting and transporting large payloads in the marine environment, the dual ship-
mounted crane system plays a very important role for cargos transportation, which exhibits …
mounted crane system plays a very important role for cargos transportation, which exhibits …
Adaptive optimal tracking control via actor-critic-identifier based adaptive dynamic programming for permanent-magnet synchronous motor drive system
FFM El-Sousy, MM Amin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents a robust adaptive optimal tracking control (RAOTC) scheme for
permanent-magnet synchronous motor (PMSM) servo drive with uncertain dynamics via …
permanent-magnet synchronous motor (PMSM) servo drive with uncertain dynamics via …
Event-triggered adaptive dynamic programming for optimal tracking control of unmanned surface vessel with input constraints
L Zhou, Z Shen, Y Nie, H Yu - Transactions of the Institute of …, 2023 - journals.sagepub.com
In this paper, an event-triggered control mechanism scheme based on dynamic surface
control and adaptive dynamic programming (DSC-ETCADP) is proposed for optimal …
control and adaptive dynamic programming (DSC-ETCADP) is proposed for optimal …
Parallel learning-based security robust tracking control for nonlinear systems with uncertainties: An event-triggered design
C Qin, Z Shang, Z Zhang, D Zhang, J Zhang - Engineering Applications of …, 2024 - Elsevier
Utilizing parallel learning technology and an event-triggering mechanism, we introduce an
adaptive security tracking control approach for nonlinear systems with both matched and …
adaptive security tracking control approach for nonlinear systems with both matched and …
High-tracking-precision sensorless control of PMSM system based on fractional order model reference adaptation
H Niu, L Liu, D Jin, S Liu - Fractal and Fractional, 2022 - mdpi.com
In order to solve parameter fluctuations and disturbances, a novel fractional order model
reference adaptive speed observer that estimates the rotor position and the angular velocity …
reference adaptive speed observer that estimates the rotor position and the angular velocity …
Advanced Motion Control In Robotic Patient Positioning System For Brain Cancer Radiosurgery
A Saadah - 2024 - dea.lib.unideb.hu
1.1 Background Brain cancer is a serious health issue that needs better treatment options.
This research focuses on the Patient Positioning System (PPS), which helps position …
This research focuses on the Patient Positioning System (PPS), which helps position …