A machine learning-based classification method for SynRM faults. [PDF]
Rajini V +6 more
europepmc +1 more source
Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Exploring carbon nanotube-copper composites for enhanced induction motor design in electrical vehicles. [PDF]
Akbar H +6 more
europepmc +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
An intelligent diagnosis method for PMSM radial misalignment based on current signal and Swin-BiGRU multimodal fusion. [PDF]
Yu H, Guo J, Zhang H.
europepmc +1 more source
Functional surfaces are investigated as a foundation for reconfigurable microscale systems with sensing and actuation capabilities. Advances in additive manufacturing enable our development of planar arrays of hybrid‐material, compliant microdevices that convert environmental stimuli into programmed motion and visual responses.
Sandra Edward +5 more
wiley +1 more source
Novel SMA BASED Elmanspiking neural network modelled fuzzy PI controller for speed-torque regulation of PMSM. [PDF]
Natarajan L +3 more
europepmc +1 more source
Online Multi-Parameter Identification for PMSM Parameter Monitoring Based on a ZOH Model and Dual-Sampling Strategy. [PDF]
He S, Xiang X, Li H, Li S, Jiang P.
europepmc +1 more source
Full-speed domain position sensorless control strategy for PMSM based on improved super-twisting sliding-mode observer and smooth transition optimization. [PDF]
Zhang X, Li P, Wang B, Lv M, Shi L.
europepmc +1 more source
Dataset for optimized design parameters of three-phase induction motors with validation through machine learning. [PDF]
Potnuru UK +4 more
europepmc +1 more source

