Multi-physics model of DC micro motors for dynamic operations

FM Reato, C Ricci, J Misfatto, M Calzaferri… - Sensors and Actuators A …, 2023 - Elsevier
Dynamic regime mechatronic devices equipped with micro-DC-motors are characterized by
a stick-slip motion during the majority of their working life. An in-depth analysis of the …

Thermal Characteristic Modeling and Compensation for the Improvement of Actuator Homeostasis

J Youn, H Kim, K Shi, K Kong - IEEE/ASME Transactions on …, 2024 - ieeexplore.ieee.org
The operation of electric actuators across a wide temperature spectrum poses a formidable
challenge in maintaining actuator homeostasis—the ability to generate a consistent …

Comparison of structured residuals design techniques for actuator and sensor fault detection and isolation in a permanent magnet DC motor

S Antic, M Rosic, Z Djurovic, M Bozic - Electrical Engineering, 2024 - Springer
Sensors and actuators frequently encounter unexpected deviations from their optimal
operating conditions, making their reliability an essential topic in many electric motor drives …

Application of Structured and Directional Residuals for Fault Detection and Isolation on Permanent‐Magnet DC Motor with Amplifier

S Antic, Z Djurovic, G Kvascev - Quality and Reliability …, 2016 - Wiley Online Library
Sensors and actuators are physical components often subjected to non‐permissible or
unexpected deviations from nominal operating conditions. This paper discusses the …

A nonlinear model for online identifying a high-speed bidirectional dc motor

AM Kwad, D Hanafi, R Omar, HA Rahman - Engineering Journal, 2020 - engj.org
A Nonlinear Model for Online Identifying a High-Speed Bidirectional DC Motor Page 1 Article A
Nonlinear Model for Online Identifying a High-Speed Bidirectional DC Motor Ayad Mahmood …

Online nonlinear series–parallel hammerstein model for bi-directional dc motor

AM Kwad, D Hanafi, R Omar, HA Rahman - Proceedings of the 12th …, 2022 - Springer
Finding a model describes a specific dynamic system through getting a relation between the
input and the output is called system identification. All systems in real life have a nonlinear …

A real-time nonlinear hammerstein model for bidirectional dc motor based on multi-layer neural networks

AM Kwad, D Hanafi, RB Omar… - 2020 IEEE Student …, 2020 - ieeexplore.ieee.org
System identification is finding a model that can describe the dynamic characteristic of the
examined system and predict the next output depending on the collected input/output data …

A Comparison of Real-time NARX Models With Feedback From Real and Estimated Output

D Hanafi, AM Kwad, HBA Rahman… - … and Automation (ICA …, 2023 - ieeexplore.ieee.org
The process of creating a model that delineates a certain dynamic system by defining a link
between the input and output is known as system identification. In real life, all systems …

Electronic gearing of two dc motor shafts for wheg type mobile robot

M Bozic, S Antić, V Vujičić, M Bjekić… - Facta Universitatis …, 2017 - casopisi.junis.ni.ac.rs
This paper describes the implementation of electronic gearing of two DC motor shafts. DC
motors are drives for a mobile robot with wheels in the form of wheel-leg (Wheg) …

[PDF][PDF] Evaluation of the performance and power requirements of a high-pressure hydraulic system using a control-volume strategy versus classical servovalve …

A Kostopoulos - 2022 - dspace.lib.ntua.gr
The main objective of this Diploma Thesis is to investigate the difference in power
consumption of two control strategies in a hydraulic configuration that uses a hydraulic …