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.

scholarly journals Application of a Hydraulic Actuator With Solenoid Valves for a Speed Control System

2020 ◽  
Vol 8 (4) ◽  
Author(s):  
Abdullah Al-Buzayd ◽  
Nadhim Faleh ◽  
Munaf Badr
Keyword(s):  
Control System ◽  
Rotational Velocity ◽  
Speed Control ◽  
Hydraulic Actuator ◽  
Hydraulic Motor ◽  
Hydraulic Pump ◽  
System Components ◽  
Speed Control System ◽  
The Right

This paper describes the design and the execution of a speed control system for a rotary hydraulic actuator by using solenoid valves. The design is to control the rotational velocity (or the speed) of a hydraulic motor without using neither a variable hydraulic pump nor a variable hydraulic motor.  With analysis by the simulation using the package, V 4.2p/1.67 of FluidSIM 4 from FESTO. It is possible to predict the output of the rotational velocity (rpm) and next could take the right decision about the correct specifications of the system components to meet the requirements.

The Application of PSO-BP Neural Network PID Controller in Variable Frequency Speed Regulation System

2014 ◽  
Vol 599-601 ◽  
pp. 1090-1093 ◽  
Author(s):  
Chun Hua Li ◽  
Shao Xiong Xu ◽  
Yang Xie ◽  
Jie Zhao
Keyword(s):  
Neural Network ◽  
Control System ◽  
Bp Neural Network ◽  
Pid Controller ◽  
Speed Control ◽  
Regulation System ◽  
Particle Swarm Algorithm ◽  
Variable Frequency ◽  
Speed Control System ◽  
Neural Network Pid

Variable frequency speed control system hold good stability,more efficient,more energy conservation etc, so it has been widely used in the industrial areas,but the control strategy of traditional was difficult to achieve the desired control effect.This paper adopt particle swarm algorithm and BP neural network to construct the PID controller of PSO-BP neural network , the M-Files of PSO-BP neural network PID based on MATLAB through S-Function, and the mode of PSO-BP neural network PID variable frequency speed control system was established in SIMULINK platform.Simulation results show that the controller hold well robustness, follow and stability,and the dynamic characteristics of the original system was improved, the application value of this method in the variable frequency speed control system was proved.

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