scholarly journals Neural Network-Based Self-Tuning PID Control for Underwater Vehicles

Sensors ◽  
2016 ◽  
Vol 16 (9) ◽  
pp. 1429 ◽  
Author(s):  
Rodrigo Hernández-Alvarado ◽  
Luis García-Valdovinos ◽  
Tomás Salgado-Jiménez ◽  
Alfonso Gómez-Espinosa ◽  
Fernando Fonseca-Navarro
Keyword(s):  
Neural Network ◽  
Pid Control ◽  
Underwater Vehicles ◽  
Self Tuning

Research on Self-Tuning PID Control Based on BP Neural Network of Multi-Motor Synchronous Control System

2013 ◽  
Vol 19 (6) ◽  
pp. 1668-1671 ◽  
Author(s):  
Huang Ke ◽  
Yu Zhixiong ◽  
Dong Qiang ◽  
Liu Jishun ◽  
Lu Le ◽  
...  
Keyword(s):  
Neural Network ◽  
Control System ◽  
Bp Neural Network ◽  
Pid Control ◽  
Synchronous Control ◽  
Self Tuning

scholarly journals Neural Network and Fuzzy-logic-based Self-tuning PID Control for Quadcopter Path Tracking

2019 ◽  
Vol 28 (4) ◽  
pp. 401-412
Author(s):  
Khadija EL HAMIDI ◽  
Mostafa MJAHED ◽  
Abdeljalil El KARI ◽  
Hassan AYAD
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Pid Control ◽  
Path Tracking ◽  
Self Tuning

Control Simulation Study Based on Recurrent Generalized Congruence Neural Network

2011 ◽  
Vol 383-390 ◽  
pp. 5691-5696
Author(s):  
Tian Yun Yan
Keyword(s):  
Neural Network ◽  
Control System ◽  
Simulation Study ◽  
Pid Control ◽  
Network Control ◽  
Neural Network Control ◽  
Nonlinear Dynamical ◽  
Self Tuning ◽  
Simulation Results ◽  
Dynamical Control

In order to meet the real-time demand of neural network control system, the structure and algorithm of self-tuning PID control system based on recurrent generalized congruence neural network(RGCNN) with fast convergence are presented, in which the improved recurrent generalized congruence neural network is adopted for identifier, and the single generalized congruence neuron with three inputs is used as controller. The simulation results of nonlinear dynamical control system show that the proposed RGCNN control system responses quickly and is stable, i.e., the proposed control system based on RGCNN is effective and feasible.

Sign in / Sign up

Export Citation Format

Share Document