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pro vyhledávání: '"Ishaq Hafez"'
Autor:
Ishaq Hafez, Rached Dhaouadi
Publikováno v:
Algorithms, Vol 16, Iss 8, p 371 (2023)
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a hybrid optimization method for accurately identifying mechanical parameters in two-mass model (2MM) systems. These systems are commonly used to model and control hi
Externí odkaz:
https://doaj.org/article/460c3a60653f418ba6e49dc1a94d72a3
Publikováno v:
IEEE Transactions on Vehicular Technology. 72:3090-3104
Autor:
Rached Dhaouadi, Ishaq Hafez
Publikováno v:
Journal of Robotics and Mechatronics. 35:212-217
This letter presents an identification method for motor drive systems with flexible shafts and couplings using frequency response measurement. The drive system can be approximated as a two-mass non-rigid mechanical system to model the lowest resonant
High Precision Sinusoidal Position Tracking of a Voice-Coil Linear Servomotor Using Resonant Control
Publikováno v:
Electronics
Volume 12
Issue 4
Pages: 977
Volume 12
Issue 4
Pages: 977
This paper presents a new sinusoidal position-tracking control scheme with a resonant controller for linear motor drive systems. The sinusoidal tracking controller is designed without any added algorithm for system identification and requires only ap
Application of Particle Swarm Optimization for the Identification of Two-Mass Electric Drive Systems
Autor:
Ishaq Hafez, Rached Dhaouadi
Publikováno v:
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT).
Autor:
Ishaq Hafez, Rached Dhaouadi
Publikováno v:
2021 International Conference on Engineering and Emerging Technologies (ICEET).