Add to ORKG141-144The servomotor is an essential element in the automation of industrial processes, and its control is necessary to achieve better performance in applications of industrial positioning. In the systems control, the knowledge of plant model through proper identification is fundamental. This work presents a methodology based on neural networks to obtain the servomotors models on industrial applications related to positioning. The effectiveness of this proposal was tested on the axes of an industrial Robot and a CNC milling machine
In this study, an artificial neural network, which runs on a real-time controller to obtain outputs ...
Artificial neural networks may probably be the single most successful technology in the last two dec...
Walter JA, Schulten K. Implementation of Self-Organizing Neural Networks for Visuo-Motor Control of ...
Due to the rising demand for individualized product specifications and short product innovation cycl...
The industrial robot's dynamic performance is frequently measured by positioning accuracy at hi...
This paper focuses on a viable position estimation scheme for timing-belt drives using artificial ne...
Rotating equipment is the beating heart of nearly all industrial plants and specifically plays a vi...
A real-time visual servo tracking system for an industrial robot has been developed Instead of a cha...
AbstractThe dimensional accuracy of machined parts mainly depends upon the positioning accuracy of m...
This paper proposes a new artificial neural network-based position controller for a full-electric in...
Унутрашњи транспорт сировина, материјала и готових делова подразумева брзо, ефикасно и економично д...
The paper focuses on enhancement of condition monitoring techniques in application to hydro- and ele...
The development of the agricultural industry is impossible without automation of the processes of fi...
The series Advances in Industrial Control aims to report and encourage technology transfer in contro...
The paper presents the theoretical background and the actual results of both linear and nonlinear id...
In this study, an artificial neural network, which runs on a real-time controller to obtain outputs ...
Artificial neural networks may probably be the single most successful technology in the last two dec...
Walter JA, Schulten K. Implementation of Self-Organizing Neural Networks for Visuo-Motor Control of ...
Due to the rising demand for individualized product specifications and short product innovation cycl...
The industrial robot's dynamic performance is frequently measured by positioning accuracy at hi...
This paper focuses on a viable position estimation scheme for timing-belt drives using artificial ne...
Rotating equipment is the beating heart of nearly all industrial plants and specifically plays a vi...
A real-time visual servo tracking system for an industrial robot has been developed Instead of a cha...
AbstractThe dimensional accuracy of machined parts mainly depends upon the positioning accuracy of m...
This paper proposes a new artificial neural network-based position controller for a full-electric in...
Унутрашњи транспорт сировина, материјала и готових делова подразумева брзо, ефикасно и економично д...
The paper focuses on enhancement of condition monitoring techniques in application to hydro- and ele...
The development of the agricultural industry is impossible without automation of the processes of fi...
The series Advances in Industrial Control aims to report and encourage technology transfer in contro...
The paper presents the theoretical background and the actual results of both linear and nonlinear id...
In this study, an artificial neural network, which runs on a real-time controller to obtain outputs ...
Artificial neural networks may probably be the single most successful technology in the last two dec...
Walter JA, Schulten K. Implementation of Self-Organizing Neural Networks for Visuo-Motor Control of ...