PID control model based on back propagation neural network optimized by adversarial learning-based grey wolf optimization

H Liu, Q Yu, Q Wu - Applied Sciences, 2023 - mdpi.com
In processes of industrial production, the online adaptive tuning method of proportional-
integral-differential (PID) parameters using a neural network is found to be more appropriate …

[PDF][PDF] Parameter estimation of DC motor through whale optimization algorithm

B Nayak, S Sahu - International Journal of Power …, 2019 - pdfs.semanticscholar.org
This article estimates the unknown dc motor parameters by adapting the adaptive model
with the reference model created by experimental data onto armature current and speed …

PLC based fractional-order PID temperature control in pipeline: design procedure and experimental evaluation

J Możaryn, J Petryszyn, S Ozana - Meccanica, 2021 - Springer
Fractional-order control system design can be used for systems with non-local dynamics
involving long-term memory effects. However, implementation of a fractional-order controller …

[HTML][HTML] Performance Portrait Method: An Intelligent PID Controller Design Based on a Database of Relevant Systems Behaviors

M Huba, D Vrancic - Sensors, 2022 - mdpi.com
The article deals with a computer-supported design of optimal and robust proportional-
integral-derivative controllers with two degrees of freedom (2DoF PID) for a double …

Cooling device with Peltier element for medical applications

Z Slanina, M Uhlik, V Sladecek - IFAC-PapersOnLine, 2018 - Elsevier
The first part of this article is an overview of portable cooling devices used for biomedical
applications (especially for horse tissues therapy). Commonly used methods list is …

Model predictive control-based path tracking control for automatic guided vehicles

H Xu, Z Yu, X Lu, S Wang, S Li… - 2020 4th CAA …, 2020 - ieeexplore.ieee.org
In this study, a path tracking control method based on model predictive control (MPC) is
presented to improve the results of path tracking. A simulation model of an automatic guided …

Swarm robotics: a new framework of military robots

M Sangeetha, K Srinivasan - Journal of Physics: Conference …, 2021 - iopscience.iop.org
In Industries robots are programmed to perform specified tasks like and place, packaging,
transporting etc. Every robots need to be programmed individually to accomplish the task …

[HTML][HTML] PID controller parameter tables for time-delayed systems optimized using hill-climbing

R Büchi - Signals, 2022 - mdpi.com
Several parameter tables for PID controllers are known from the literature, for the control of
time-delayed systems. The best known is that of Ziegler and Nichols, but there are others …

[PDF][PDF] Parameter estimation of DC motor using adaptive transfer function based on Nelder-Mead optimisation

B Nayak, S Sahu, TR Choudhury - Indonesian Journal of …, 2018 - researchgate.net
This paper explains an adaptive method for estimation of unknown parameters of transfer
function model of any system for finding the parameters. The transfer function of the model …

Sensoric system for navigation of swarm robotics platform

J Dedek, M Golembiovsky… - 2017 18th International …, 2017 - ieeexplore.ieee.org
This paper deals with sensory equipment for swarm robots. It elaborates on reasons for
choice of sensors based on their principles, ability to operate in swarms and use in a …