Simulation study on fuzzy logic neural-network control in the AC drive system

2008 ◽  
Author(s):  
Qiao Meiying ◽  
Lan Jianyi
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Simulation Study ◽  
Network Control ◽  
Drive System ◽  
Neural Network Control ◽  
Ac Drive

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.

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