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[HTML][HTML] Bond-graph-based approach to teach pid and sliding mode control in mechatronics
The main contribution of this article is creating synergy between subjects; this means that
students use the same graphical tool in several subjects. So far, the bond graph has not …
students use the same graphical tool in several subjects. So far, the bond graph has not …
Sensorless speed estimation of permanent magnet DC brushed motor considering the effect of armature teeth–slots and commutation
M Ghosh, S Ghosh, PK Saha… - IET Power Electronics, 2017 - Wiley Online Library
This study proposes a novel technique of speed estimation for permanent magnet direct
current (PMDC) brushed motor. The impact of armature teeth–slots and commutation of …
current (PMDC) brushed motor. The impact of armature teeth–slots and commutation of …
Machine learning-based fault estimation of nonlinear descriptor systems
T Patel, MS Rao, D Gandhi… - … of Automation and …, 2024 - inderscienceonline.com
This article focuses on the problem of fault estimation of nonlinear descriptor systems
(NLDS) using intelligent approaches. Firstly, an extended Kalman filter for descriptor …
(NLDS) using intelligent approaches. Firstly, an extended Kalman filter for descriptor …
Leveraging cultural algorithms for FOPID controllers with objective function analysis
In comparison to a classical PID controller, the optimization of a fractional-order PID
controller poses a significant challenge on account of increased complexity due to the …
controller poses a significant challenge on account of increased complexity due to the …
An online artificial neural network speed estimator for sensorless speed control of separately excited DC motor
N Pimkumwong, MS Wang - 2018 15th International …, 2018 - ieeexplore.ieee.org
This paper presents a speed estimator for sensorless speed control of separately excited DC
motor by using artificial neural network. To estimate the speed, a coefficient, which concerns …
motor by using artificial neural network. To estimate the speed, a coefficient, which concerns …
A method for real-time sensorless speed control of brushed DC motors in cost constrained systems
D Ertl, L Weber - 2020 2nd Global Power, Energy and …, 2020 - ieeexplore.ieee.org
Although brushed direct current (DC) motors have given way to brushless DC motors for
many high-performance applications, brushed DC motors still dominate cost-sensitive …
many high-performance applications, brushed DC motors still dominate cost-sensitive …
[PDF][PDF] Identifikasi sistem motor dc dan kendali linear quadratic regulator berbasis arduino-simulink matlab
DC motor system with the experimental technique using indetification tool in Matlab. After
the DC motor model system is obtained, the optimal control technique in this case using …
the DC motor model system is obtained, the optimal control technique in this case using …
Back-EMF Sensing of Linear Resonant Actuators for Detection of Tap-Induced Vibration
R Schmidt, MH Guzman… - International …, 2023 - asmedigitalcollection.asme.org
This paper examines the dynamics, detection, and interpretation of back electromotive force
(EMF) in linear resonant actuators (LRAs). LRAs are small motors that are commonly used to …
(EMF) in linear resonant actuators (LRAs). LRAs are small motors that are commonly used to …
Implementation of linear active disturbance rejection control for a dc motor system
DC motors can be suitably chosen for industrial, medical or robotic applications because of
their ability to supply continuous stable current and high efficiency. Speed control is the …
their ability to supply continuous stable current and high efficiency. Speed control is the …
Analysis and Implementation of a DC Motor System Based on Arduino-Simulink Matlab Using Linear Quadratic Regulator (LQR) Control
FH Nugroho - Journal of Electrical, Marine and Its Application, 2024 - inergyc.ppns.ac.id
This study presents the comprehensive process of identifying a DC motor system using
experimental techniques facilitated by MATLAB's identification tools. Following the …
experimental techniques facilitated by MATLAB's identification tools. Following the …