Real-time inverse dynamic deep neural network tracking control for Delta robot based on a COVID-19 optimization

M Shamseldin - Journal of Robotics and Control (JRC), 2023 - journal.umy.ac.id
This paper presents a new technique to design an inverse dynamic model for a delta robot
experimental setup to obtain an accurate trajectory. The input/output data were collected …

A New Self-Tuning Nonlinear PID Motion Control for One-Axis Servomechanism with Uncertainty Consideration

MA Shamseldin, MA Abdelghany - Journal of Robotics and …, 2023 - journal.umy.ac.id
This paper introduces a new study for one-axis servomechanism with consideration the
parameter variation and system uncertainty. Also, a new approach for high-performance self …

Trajectory tracking control of a 3-CRU translational parallel robot based on PD+ robust controller

T Zhang, G Ma, Y Cao - Journal of Mechanical Science and Technology, 2022 - Springer
In order to suppress the external disturbances existing in the trajectory tracking process of
the 3-CRU parallel robot, a trajectory tracking control method based on PD+ robust …

Joint torque prediction of industrial robots based on PSO-LSTM deep learning

W Xiao, Z Fu, S Wang, X Chen - Industrial Robot: the international …, 2024 - emerald.com
Purpose Because of the key role of joint torque in industrial robots (IRs) motion performance
control and energy consumption calculation and efficiency optimization, the purpose of this …

Multi-objective optimization to improve the performance of Delta Robot for a predefined workspace

YR Esmaeili, H Moradi, GR Vossughi - Scientia Iranica, 2024 - scientiairanica.sharif.edu
Due to conflictions between different purposes and objectives of the industrial robots, a multi-
objective optimization is required to find the non-dominant answers to choose from. In this …

Optimization of Fuzzy-PD Control for a 3-DOF Robotics Manipulator Using a Back-Propagation Neural Network.

F Shukur, SJ Mosa… - Mathematical Modelling of …, 2024 - search.ebscohost.com
In this research, a new control technique based Fuzzy-PD and Back-Propagation Neural
Network is developed for controlling robotics arm with their three links. The continuous …