Self-Tuning Neural Network PID With Dynamic Response Control
PID controllers are widely used and adaptable to various types of systems. However, for the response to be adequate under different conditions, the PID gains must be adjusted. The tuning is made according to the difference between the reference value and the real value (error). This work presents a...
Main Authors: | Omar Rodriguez-Abreo, Juvenal Rodriguez-Resendiz, Carlos Fuentes-Silva, Rodrigo Hernandez-Alvarado, Maria Del Consuelo Patricia Torres Falcon |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9415738/ |
Similar Items
-
Neural Network-Based Self-Tuning PID Control for Underwater Vehicles
by: Rodrigo Hernández-Alvarado, et al.
Published: (2016-09-01) -
A novel fuzzy logic scheme for PID controller auto-tuning
by: Ilija Kamenko, et al.
Published: (2022-04-01) -
Auto Tuning PID Controller Untuk Mengendalikan Kecepatan DC Servomotor Robot Gripper 5 Jari
by: I Wayan Widhiada, et al.
Published: (2015-07-01) -
Self-Tuning Control Using an Online-Trained Neural Network to Position a Linear Actuator
by: Rodrigo Hernandez-Alvarado, et al.
Published: (2022-04-01) -
A Novel Method for Tuning PID Controller
by: Abidaoun H. shallal, et al.
Published: (2013-03-01)