Results 81 to 90 of about 1,852,430 (220)
Online Adaptation of Data‐Driven Controllers for Unknown Nonlinear Systems
ABSTRACT This paper considers data‐driven online control of input‐affine nonlinear systems. By resorting to a data‐based closed‐loop time‐varying system representation, we derive data‐based online semi‐definite programs that are computed along the system's trajectory.
Xiaoyan Dai +2 more
wiley +1 more source
This paper presents a magnetic-geared permanent magnet synchronous motor (MG-PMSM), which is an integrated structure composed of a permanent magnet synchronous motor (PMSM) and a magnetic gear (MG) for autonomous underwater vehicles (AUVs).
Jang-Hyun Park, Do-Kwan Hong
doaj +1 more source
Sensorless position estimation in fault-tolerant permanent magnet AC motor drives with redundancy. [PDF]
Safety critical applications are heavily dependent on fault-tolerant motor drives being capable of continuing to operate satisfactorily under faults.
An, Jae Sam
core
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva +4 more
wiley +1 more source
Calculation Research of Re-starting with Speed for PMSM Based on the Sensor-less
On the basis of permanent magnet excitation, EMF will be generated in the terminal of permanent magnet synchronous motor as long as the motor rotates.
WEN Yuliang +4 more
doaj
This study presents a novel deep learning‐based fault classification framework utilising Variational Mode Decomposition (VMD) for adaptive feature extraction and a Multi‐branch Convolutional Neural Network (M1D‐CNN) architecture for classification. The VMD hyperparameters were optimised based on kurtosis to ensure the extraction of the most informative
Seyyid Ahmed Djellouli +4 more
wiley +1 more source
This paper proposes an EXP‐PI controller as a practical alternative to the conventional PI controller, integrating EXP functions on the error and its rate within the control structure. The controller is optimized using five recent intelligent algorithms, with SFS providing the most effective parameter tuning.
Emre Çelik +7 more
wiley +1 more source
This study presents a novel Genetic Algorithm-optimized Adaptive Fuzzy Fractional Order Proportional Integral Derivative (GA-AFFFOPID) controller for enhancing the speed control performance of permanent magnet synchronous motor (PMSM) drives in Electric ...
Tolcha Lemma Sime +3 more
doaj +1 more source
Finite-Time Chaos Suppression of Permanent Magnet Synchronous Motor Systems
This paper considers the problem of the chaos suppression for the Permanent Magnet Synchronous Motor (PMSM) system via the finite-time control. Based on Lyapunov stability theory and the finite-time controller are developed such that the chaos behaviors ...
Yi-You Hou
doaj +1 more source
This study proposes a recursive hierarchical observer combining an extended Kalman filter, extended state observer and weighted least‐squares algorithm to accurately estimate the oxygen excess ratio in polymer electrolyte membrane fuel cells under challenging low‐current and noisy conditions.
Hyeongki Ahn +5 more
wiley +1 more source

