scholarly journals Application of Improved PSO and PID Neural Network Controller for Multi-motor Proportion Synchronous Control System

2017 ◽  
Author(s):  
Zhenxin Gao ◽  
Jianhong Sun
Keyword(s):  
Neural Network ◽  
Control System ◽  
Synchronous Control ◽  
Neural Network Controller ◽  
Network Controller ◽  
Pid Neural Network ◽  
Improved Pso

Research on Intelligent Variable Frequency of Air-Conditioner Control System Based on Fuzzy Control

2011 ◽  
Vol 110-116 ◽  
pp. 4076-4084
Author(s):  
Hai Cun Du
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Neural Network ◽  
Air Conditioner ◽  
Neural Network Controller ◽  
The Neural Network ◽  
Network Controller ◽  
Fuzzy Neural ◽  
Fuzzy Control Strategy

In this paper, we determine the fuzzy control strategy of inverter air conditioner, the fuzzy control model structure, the neural network and fuzzy control technology, structural design of the fuzzy neural network controller as well as the neural network predictor FNNC NNP. Simulation results show that the fuzzy neural network controller can control the accuracy greatly improved the compressor, and the control system has strong adaptability to achieve a truly intelligent; model of the controller design and implementation of technology are mainly from the practical point of view, which is practical and feasible.

Study on the Speed Control System of Hydraulic Pump-Motor Based on PID Neural Network

2012 ◽  
Vol 542-543 ◽  
pp. 759-764
Author(s):  
Di Wu ◽  
Jin Yao ◽  
Yong Jing Huang
Keyword(s):  
Neural Network ◽  
Control System ◽  
Dynamic Property ◽  
Speed Control ◽  
Theoretical Models ◽  
Hydraulic Pump ◽  
Transient Time ◽  
Neural Network Controller ◽  
Speed Control System ◽  
Pid Neural Network

Theoretical models of hydraulic pump-motor and electro-hydraulic servo control systems of hydraulic pumps were established and the system transfer function was derived In view of bad dynamic property, small damp, long transient time, low precision, nonlinearity and etc existing in the speed control system of Hydraulic Pump-Motor, a controller based on PID Neural Network was designed. The simulation results showed that the PID Neural Network controller has better dynamic property, load disturbance adaptability , robustness and cranking ability than traditional PID controller.

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